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  • Dong Weiliang, Huang Shichang, Huang Junbao, Shao Jie, Yao Wenwei
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    To enhance the prediction accuracy of waves in multi-island sea regions, this study uses the measured wave data of 57 typhoons in the Yangtze River Estuary and the coastal waters of Zhejiang Province from 1987 to 2022 to investigate the attenuation coefficients of wave height in various sea areas through data processing and analysis. The leef-sheltering coefficients is employed to quantify the influence of reef location, size and other factors on the average periods of mixed waves. Based on the measured wave height-period relationship of mixed waves, a method for determining the maximum and minimum periods of mixed waves is proposed. Finally, the friction coefficient of the wave bottom in the study area is calculated by using theoretical formulas. As shown in the results, the wave height gradually diminishes during the wave propagation towards the inshore, and the wave energy attenuates more rapidly in the areas with numerous islands than in open areas without islands. In a multi-island sea area, the period of mixed waves will gradually decrease under the effect of reef shielding, while the degree of period reduction increases with the increase of the reef shielding degree. For a certain wave height, the wave-period relationship of the strong wave direction at offshore stations can be regarded as the maximum possible period of the mixed wave, while the wave-period relationship of the wind waves can be taken as the minimum possible period of the mixed wave. As demonstrated in the calculation, in the Yangtze River Estuary and the near-shore regions of Zhejiang Province, the wave bottom friction coefficient Cb is 0.050 m2/s3, and the bottom friction coefficient f is 0.009.
  • Xia Tao, Zhang Qifu, Sheng Kai, Zhou Yangtao, Huang Lei, Zhang Yangfei
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    Aiming at the problem of low efficiency of traditional direct drive wave power generation system due to low wave frequency and speed, and avoiding the influence of seawater corrosion and wind wave impact on the power generation device, a linear Hall based maximum power tracking control strategy for direct drive wave power generation is proposed in this paper. The proposed multi-layer permanent magnet embedded cylinder linear generator has high power density and can effectively prevent the damage of the wave impact, while the linear Hall has strong reliability and resistance to seawater corrosion in wave power generation, and can effectively solve the disadvantages of mechanical sensors and sensorless algorithms in the marine application environment. In addition, according to the principle of mechanical resonance, the maximum tracking strategy of wave energy is proposed, and the wave energy conversion efficiency is improved by controlling the float movement to make it in phase with the wave excitation force. Finally, the control strategy simulation and hardware experiment platform of direct drive wave power generation are built. The experimental results are consistent with the simulation results, verifying the effectiveness of the proposed control strategy.
  • Wang Jingjing, Zheng Jianguo, Deng Juntao, Yu Yongtang, Zhu Jianmin, Huang Xin
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    To effectively describe the heat transfer process of underground buried pipe heat exchanger systems and facilitate the optimal design of buried pipe heat exchanger systems. A coupled analytical model of coaxial sleeve heat exchanger considering soil and borehole heat transfer processes was established using the method of layered composite medium and segmented iterative calculation. The rationality of the model was verified based on experimental and numerical simulation results. The influence of initial ground temperature distribution and temperature ratio on the performance of buried pipe systems was analyzed using a model. The results indicate that ignoring the influence of the variable temperature layer will underestimate the heat transfer capacity of the heat exchanger, and the impact on the heat transfer performance of shallow buried pipes is greater than that of deep layers. In addition, it was found that the heat exchange rate is not determined by a higher inlet fluid temperature, but by a larger difference between the inlet fluid temperature and the initial ground temperature.
  • Zhao Jun, Wang Baochen
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    During the process of groundwater source heat pump recharge, microbial blockage represented by Escherichia coli is one of the important causes of ground subsidence, and studying its blockage characteristics is of great practical significance. We studied the “sedimentation detachment” characteristics of Escherichia coli when the direction of seepage and fluid velocity changed using a self-developed sand layer clogging device. The experimental results showed that: 1) Escherichia coli blockage exhibited a saddle shape under three different flow rates, with concentration changes increasing first and then decreasing, and then decreasing again after a correction. Among them, the blockage of Escherichia coli at the throat has a certain degree of dependence, which affects the efficiency of reinjection; 2) After changing the direction of seepage and increasing the flow rate, the dynamic balance of “sedimentation detachment” of Escherichia coli is disrupted, and the concentration of Escherichia coli decreases. The Escherichia coli that originally deposited in the pores are driven to migrate by external forces. By monitoring the liquid sample at the outlet, it was found that there was a significant increase in concentration values. Based on engineering practice, if the method of backflushing is used to treat the wellbore blocked by Escherichia coli, excessive cleaning time may cause new blockages, which may not meet the requirements of thorough cleaning of the wellbore. Therefore, it is necessary to control the reasonable time of backflushing.
  • Xu Peng, Ran Wenwen, Huang Yuan, Li Huijuan, Xiao Kelin, Wan Shibin
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    In this paper, an RUL prediction method with complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and a genetic algorithms (GA) optimized bi-directional long and short-term memory (BILSTM) neural network is proposed. In this method, CEEMDAN decomposes the battery capacity data and also performs differential analysis on the battery data to obtain the feature inputs, and subsequently, the GA is used to optimize the hyperparameters of BILSTM to build the RUL prediction model of GA-BILSTM. Finally, validation is performed on the NASA dataset, and the results show that the method can realize RUL prediction accurately and effectively.
  • Lu Guoqiang, Wang Kai, Ma Junxiong, Li Ziwei, Li Zifeng
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    An energy control optimization method for electrochemical energy storage to improve the transient stability of the new energy grid is studied in this paper. Firstly, the characteristics of the electrochemical energy storage system during the transient and steady-state operation of a new energy grid with an electrochemical energy storage system are studied, and the transient and steady-state operation model of the electrochemical energy storage system is established. Then, the transient energy control of electrochemical energy storage system is divided into three-layer control process, and the transient energy control method of electrochemical energy storage system is proposed. The transient energy control optimization model of electrochemical energy storage system is established with the total control cost of the system as the optimization objective, and deep reinforcement learning algorithm is used to optimize the solution of the control model. Finally, the proposed control model is analyzed and verified by building a simulation example with the data of new energy station in a certain area of Qinghai. The results show that the energy control optimization method of electrochemical energy storage system proposed in this paper has a certain effect in improving the transient stability of the new energy.
  • Lyu Shengnan, Lu Yuanwei, Cui Yaru, Ma Yancheng, Wu Yuting, Zhang Cancan
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    Taking a 600 MW subcritical coal-fired unit as the research object, a new three-tank molten salt thermal energy storage system is proposed, and the effects of molten salt temperature (Th) in the hot tank and molten salt mass flow (Gs) during discharging on the peak shaving performance of the coal-fired unit are studied. The results show that the increase of Th can prolong the charging time and increase the generating power of the unit during the discharging process, but it will reduce the exergy efficiency during charging. With an increase in Gs, the increment of power generation in the discharging process decreases. For the complete peak-shaving process, the lower the Th and the smaller the Gs, the better the comprehensive peak-shaving performance of coal-fired units.
  • Cheng Yueke, Wang Yujie
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    In order to eliminate the interference of PV output fluctuation on energy storage configuration, a method based on a PV output prediction model and an improved genetic algorithm (IGA) was proposed to determine the optimal energy storage capacity. Based on long short-term memory neural network (LSTM) to predict PV output, variational mode decomposition (VMD) to capture PV fluctuation characteristics, and improved sparrow algorithm (ISSA) to optimize LSTM neural network hyperparameters, a VMD-ISA-LSTM PV output prediction model was established. The optimal allocation of energy storage capacity is realized by an IGA that employs population partitioning and an improved mutation operator. The average absolute error, root mean square error and average absolute percentage error of PV output predicted by VMD-ISSA-LSTM can reach 12.48 kW, 14.44 kW and 2.16%, respectively. After the improvement, the average convergence speed of genetic algorithm is increased by 51.33%, and the algorithm runtime is reduced by 31.16%. Considering the optimization of photovoltaic output, the installed cost of energy storage capacity is reduced by 6.63%, and the investment payback period is reduced by 0.7 years. The results of the example show that the method is helpful to solve the problems of large investment in energy storage construction, low operating income, long investment recovery cycle and other poor economic benefits caused by photovoltaic output fluctuations, and is conducive to promoting the sustainable and healthy development of photovoltaic energy storage industry and ensuring the smooth realization of the “dual carbon” goal.
  • Wang Hanwen, Ma Zhigang, Qian Xin, Xu Yong, Jiang Yanxin, Lai Yong
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    In view of the problems of insufficient flexible regulation capacity and unreasonable utilization of energy storage in parks with high renewable energy penetration, the distributionally robust optimal configuration method of shared energy storage in the park for distributed resource cluster regulation is proposed by considering the interaction of carbon quota and the uncertainty of source-load. First, we establish the distributed resource scheduling clusters in the park by considering the source-load matching degree, and generate source-load typical scenarios based on the optimal clustering model to characterize the uncertainty of the source and load power. Next, the shared energy storage flexible regulation model for distributed resource clusters in the park is established with the dynamic allocation mechanism of shared energy storage power and capacity. Then, this paper constructs a distributionally robust optimal configuration method of shared energy storage in the park based on the park cluster carbon quota and power interactions, which minimizes the sum of the annual average investment cost of energy storage and the operating cost of the park to improve energy storage utilization. Last, a typical high proportion of photovoltaic penetration park is used to verify the effectiveness of the proposed shared energy storage configuration method in dealing with the uncertainty of source-load and improving the operation efficiency of the park.
  • Li Chanjuan, Meng Gaojun, Ding Yanwen
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    On the premise of ensuring the reliability of the wind solar hydrogen storage integrated power supply system, in order to minimize the unit power generation cost and improve the overall economic performance of the system, this paper adds the relative standard deviation of interconnection line power in the objective function to measure the stability of the system on the basis of an off-grid system, and introduces a stepped carbon emission cost in the economic objective function. The constraint conditions include the interaction power constraint with the grid and the system self-balancing rate constraint. At the same time, an operation control strategy that takes into account the time-of-use electricity pricing of the grid is proposed to improve the operation of the system. The IMOSSA algorithm is used to obtain the optimal configuration scheme. The results of the study show that this optimization can increase the self-balancing rate of the system in the range of 10% to 20% and effectively reduce the total annual net present cost of the system by about 15%, which demonstrates the effectiveness of the proposed research methodology.
  • Yuan Wei, Han Ruiyuan, Du Shuangqing, Yang Xianliang
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    Spiral fins play a significant role in enhancing heat transfer in phase-change energy storage devices. Four types of spiral fins with different compression ratios were used to analyze the effect of the number of fins on the solidification of phase change materials. First, the solidification process of the phase change material in the spiral fin energy storage tank with different compression ratios was numerically simulated, and the temperature distribution and change in the phase change interface in the four energy storage tanks with time were discussed. Second, the liquid phase fraction, average temperature, total heat release, solidification time, and average heat release rate were analyzed. The results indicate that the design of spiral fins with an appropriate compression ratio can effectively promote the solidification of phase-change materials in energy storage devices, reduce the phenomenon of vertical stratification at lower temperatures, and optimize the heat release performance of phase-change energy storage tanks. Compared with the standars energy storage tank, the average heat release rate of paraffin wax in the energy storage tank with a compression ratio of 3 increases from 86.7 J/s to 93.9 J/s, representing an increase of 8.7%. The complete solidification time is reduced by 6.6%. When the compression ratio is 5 and 7, the average heat release rate decreases to 84.7 J/s and 63.8 J/s, representing a decrease of 2.3% and 26.4%, respectively. The complete solidification time increases by 18% and 38.7%, respectively. For a constant volume of PCM, the energy storage tanks with 8, 10, and 12 fins completes the heat release as a whole, and the heat release effect of the energy storage tank with 14 fins is not as good as that of the tank with 6 fins, indicating that more spiral turns are not always better. As the compression ratio and number of fins increase, the solidification rate initially increases and then decreases, while the time required for complete solidification decreases before increasing again.
  • Zhang Chu, Wang Yiwei, Zhang Yue, Chen Jialei, Peng Tian
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    This paper proposes a method for predicting the remaining useful life (RUL) of lithium-ion batteries based on an improved heap-based optimizer (HBO) and a TimesNet neural network. Firstly, kernel principal component analysis (KPCA) is used to perform dimensionality reduction and redundancy removal on the raw data to extract key features. Subsequently, a deep learning model based on TimesNet is constructed to evaluate the RUL of the battery. To further improve the performance of the model, the hyperparameters of the TimesNet model are optimized using the improved heap-based optimizer (IHBO). In addition, an error correction mechanism is introduced to enhance the prediction accuracy. Experimental results show that this method has high accuracy in predicting the RUL of lithium-ion batteries, with a root mean square error(RMSE) of 1.9937 time, which is superior to traditional time-series models.
  • Cheng Peng, Di Xiaoheng, Xia Baolong, Pan Tao, Qin Lin
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    To solve the issues posed by excessive DC bus voltage fluctuations in power systems and short-term overloads in diesel generator sets and energy storage systems, a control strategy that integrates droop control with voltage compensation and virtual DC generator control into hybrid energy storage systems is proposed for green tugboat operations. Firstly, a theoretical analysis of the control strategy is presented. Subsequently, a hybrid energy storage system model is constructed in Matlab/Simulink to simulate and verify the feasibility of the control strategy. Finally, the control strategy is integrated into the green tugboat power system to conduct simulation experiments. The results demonstrate that the green tugboat's diesel generator set, which incorporates the hybrid energy storage control strategy, is capable of continuously outputting economical power under all operating conditions except the mooring condition. Furthermore, the DC bus voltage reains at the rated voltage of 1000 V in steady state. Additionally, the voltage fluctuation in the transient process is less than 1.5%. The proposed control strategy has been shown to significantly enhance the safety and stability of the green tugboat power system.
  • Zhang Haibo, Duan Rui, Shen Jie, Huang Songtao, Shang Guozheng
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    In order to give fully exploit to the flexible regulation capability of energy storage to smooth the planned output of thermal power units in the day-ahead dispatch phase, a day-ahead two-stage stochastic optimal dispatch model is constructed to take into account the real-time regulation of energy storage. The model simultaneously considers the two-stage scheduling process of day-ahead scheduling and real-time operation, determines the unit commitment and reserve capacity plan of thermal power units based on the wind and solar prediction output in the day-ahead stage, uses the H-P filter decomposition method to decompose the system net load in the wind and solar real-time scenarios, applies real-time energy storage adjustments to stabilize the high-frequency components in the net load, which is first decomposed into high-frequency and trend components, and thermal power units to stabilize the trend components of the net load, so as to achieve the purpose of smoothing the planned output of thermal power units in the day-ahead scheduling stage. The example shows that the model can effectively reduce the number of planned thermal power unit regulation, reduce the thermal power unit regulation cost, and improve the thermal power life, and the application of the model under the existing new energy installed capacity is more obvious with the increase of renewable energy penetration rate in the region.
  • Zhong Jinbao, Fan Haoxi, Wang Yongpeng, Zhang Jian, Meng Xiangyi, Feng Xianglong
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    Through physical modification methods such as washing, drying, and high-temperature calcination, sepiolite was treated to obtain modified sepiolite (ST). Using the vacuum adsorption method, ST was used as the support to prepare a lauric acid (LA) and palmitic acid (PA) binary eutectic composite phase change materials, resulting in modified sepiolite-based lauric acid-palmitic acid composite phase change heat storage materials (LA-PA/ST). The thermophysical properties, structural features, thermal conductivity and thermal reliability of the composite phase change materials (PCMs) were systematically investigated by testing methods such as differential scanning calorimeter (DSC), Fourier transform infrared spectroscopy (FTIR), scanning electron microscope (SEM) thermogravimetric analyzer (TG), HotDisk analyzer and thermal cycling experiments. The results indicated that at an optimal adsorption mass ratio of LA-PA to ST of 1:5, LA-PA was uniformly distributed within the pores of ST and showed no leakage in the molten state. The thermal conductivity of pure LA-PA is 0.29 W/(m·K), whereas that of LA-PA/ST increases significantly to 1.26 W/(m·K). Additionally, the composite exhibited nearly no weight loss at 100 ℃, with initial 1% weight loss occurring at 128.36 ℃. After 200 thermal cycling experiments, the phase change temperature decreased by only 0.03 ℃. An experimental setup was constructed to evaluate the photothermal conversion performance, revealing a 461 s reduction in heat storage time and a 1711 s extension in heat release time. These experimental data demonstrate that LA-PA/ST possesses good thermal conductivity, thermal stability, and thermal cycling stability.
  • Liu Yan, Zhang Haobin, Ye Chengliang, Yu Mingfeng, Zhang Lei, Wen Hangyu
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    To investigate the thermal storage performance of horizontal packed-bed systems filled with solid particles, an experimental setup was established using air as the heat transfer medium. Experimental and numerical studies were conducted to analyze the thermodynamic characteristics and pressure drop variations during the charging and discharging processes. Results showed that the round-trip efficiency of the packed bed reached 95.5%. When the inlet airflow velocity increased from 0.40 m/s to 1.96 m/s, the effective utilization rate improved by 15 percentage points, and the storage duration decreased by 70%. During operation, a top-layer settling phenomenon occurred in the packed bed, leading to premature heating of the downstream section and a reduction in overall thermal storage capacity. By installing baffles with an optimal insertion depth at the top of the bed, the impact of air bypass could be effectively mitigated. When the thermal storage lag coefficient k=1, the propagation speed of the temperature field in the air layer matched that in the packed bed, achieving the optimal baffle insertion depth.
  • Chen Bo, Li Yamin, Jia Meng, Yang Zhijun
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    To reduce the stringent mechanical maintenance requirements of proton exchange membrane fuel cells (PEMFCs), improve their performance, and extend the service life of their components, this paper examines uncertainties in three nominally deterministic mechanical design parameters: gas diffusion layer (GDL) thickness, GDL porosity, and bipolar plate bending radius. The study evaluates the influence of these uncertainties on contact pressure based on the Gaussian probability method. It explores the correlation between the macroscopic scales, including GDL thickness, GDL porosity, and bipolar plate bending radius, and the microscopic scale of GDL contact pressure. The study analyzes the uncertainties in mechanical design parameters and their effects on contact pressure and verifies the reliability of GDL dimension through integrated uncertainty modeling and simulation.
  • Yuan Xiaoxue, Liu Wei, Liu Bin, Kang Zongyao
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    Aspen Plus is used to establish an ammonia decomposition model for hydrogen production using ammonia combustion as the energy source, to analyze the factors affecting the ammonia decomposition rate, and to study the adiabatic flame temperature and NOx emission during ammonia combustion in detail. Finally, the two systems using ammonia combustion and hydrogen combustion as the energy source were compared. The results show that ammonia decomposition mainly occurs at the inlet of the decomposition reactor, and the heat provided at the inlet can significantly improve the decomposition efficiency. The ammonia decomposition rate is negatively correlated with reactor pressure and positively correlated with temperature. Systems that use ammonia combustion as an energy source reduce NO emissions by as much as 50% about compared to systems that use hydrogen combustion as an energy source.
  • Zhu Zuohong, Chai Mu, Liu Zhen’an, He Kuanfang
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    In order to study the influence of heat transfer performance of solid-state metal hydrogen storage tank based on phase change heat transfer, an experimental platform was built with a solid-state metal hydrogen storage tank based on phase change heat transfer, and the heat absorption behavior of phase change materials in the phase change process was used to dissipate heat during the hydrogen absorption process of the solid-state metal hydrogen storage tank, and the thermodynamic properties of hydrogen storage alloys during the hydrogen absorption process were analyzed. Finally, hydrogen absorption experiments were designed at different melting points, wall thicknesses and hydrogen absorption pressures to test the effects of key parameters such as melting point, wall thickness and hydrogen absorption pressure of different phase change materials on the hydrogen absorption performance of AB5 solid metal hydrogen storage tank. The results show that in the early stage of the reaction, the heat transfer between the wall and the phase change material is mainly by conduction. As the reaction progresses, the phase change material melts, and more high-temperature liquid phase change material flows upward, pushing the upper liquid interface to move, and under the action of gravity, the phenomenon of thermal buoyancy will be generated, and natural convection dominates in the phase change heat. Under the initial conditions, higher hydrogen absorption pressure and thicker phase change material wall thickness both have a promoting effect on hydrogen absorption efficiency. Higher hydrogen absorption pressure will intensify heat exchange behavior, while a thicker phase change material wall thickness can increase the total amount of thermal energy absorbed. At the same time, the lower melting point of phase change materials can improve the hydrogen absorption efficiency of the tanks and accelerate the temperature drop inside the tanks.
  • Cheng Youliang, Ding Rui, Wang Naixiao, Zhang Lei, Fan Xiaochao, Ma Yixuan
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    Research on intelligent design in hydrogen energy systems engineering addresses the various challenges faced by the hydrogen industry amidst the global transition to green energy. It integrates the theoretical framework and practical strategies of systems engineering, providing both an initial and in-depth analysis of hydrogen energy systems. The work comprehensively reviews the core theories and technical methods in the field of intelligent design, which encompass a wide range of cutting-edge areas such as parametric geometric modeling, intelligent optimization algorithms, knowledge engineering, multidisciplinary design optimization, digital twin technology, and generative design. By meticulously examining the practical applications of these advanced theories in hydrogen energy systems engineering, the research demonstrates the crucial role of intelligent design in driving technological advancements and accelerating industrial upgrades in the hydrogen sector. Additionally, it explores the extensive application prospects of artificial intelligence technologies in the future hydrogen economy and society, highlighting how intelligent design can enhance the operational efficiency of various stages in hydrogen energy systems, thereby promoting the intelligent upgrading and sustainable development of the hydrogen industry.
  • Wu Weili, Mi Chan, Li Lei
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    In order to improve the accuracy of PV power forecast, a short-term PV power forecast model is proposed, which takes into account the multivariate meteorological information from nearby power stations and improves the combined neural network. Firstly, considering the correlation between geographical factors and climatic conditions among adjacent distributed photovoltaic power stations, the grey correlation method is used to determine the main influencing factors of the power stations to be predicted, and the key features of multivariate meteorological information are constituted as the input sequence of the prediction model. Secondly, combining the advantages of the temporal convolutional network (TCN) for efficient extraction of input sequence information and bidirectional gated recurrent unit (BiGRU) for bidirectional data learning, a combined prediction model of TCN-BiGRU is built, and the improved Grey Wolf optimization algorithm (IGWO) is used to optimize the hyperparameters of BiGRU, so as to achieve high-precision prediction of photovoltaic power generation. Finally, the proposed model is verified by the measured data and compared with the similar methods. The results show that combined with multivariate meteorological information, the prediction model can effectively improve the prediction accuracy of power generation in different types of weather throughout the year, and compared with other prediction models, the proposed method can also show good prediction accuracy even when the climate conditions change drastically or randomly.
  • Wang Haozheng, Lin Wenjie, Peng Mengyun, Wang Yongqian, Qiu Kaifu, Yu Xuegong
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    This paper delves into the application of Plasma-Enhanced Chemical Vapor Deposition (PECVD) technology in the fabrication of high-efficiency N-type Tunnel Oxide Passivated Contact (TOPCon) solar cells, focusing on the key process parameters of the tunnel oxide layer and the polycrystalline silicon layer, as well as their impact on the passivation performance of the solar cells. Experimental results indicate that the thickness of the tunnel oxide layer plays a crucial role in passivation. When the oxidation time is controlled at 105 seconds, the passivation effect is optimal. This is mainly because this oxide thickness achieves an optimal balance between carrier tunneling probability and interface passivation effect. Furthermore, annealing temperature is also a key factor affecting passivation performance, with an optimal range of 915-930 ℃. High-temperature annealing not only promotes the activation of phosphorus doping but also reduces interface defects, significantly improving interface quality. The phosphorus doping level in the polycrystalline silicon layer also affects passivation performance. As the phosphorus doping increases, the field passivation effect of the polycrystalline silicon layer improves, thereby enhancing overall passivation performance. However, excessively high phosphorus doping may lead to severe Auger recombination on the silicon surface, weakening the passivation effect. This paper improves the passivation effect of TOPCon cells by precisely controlling the thickness of the tunneling oxide layer and annealing temperature. Additionally, it analyzes the influence of oxidation time and annealing temperature, revealing the complex interactions among various parameters. Ultimately, through in-depth simulation of the key process parameters of TOPCon cells, we revealed high efficiency under optimized conditions, providing scientific evidence and technical support for process improvement and practical applications.
  • Wang Lijuan, Wang Sen, Luo Menghe, Zhao Junbao
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    In response to the difficulties in site selection arising from restrictive land use policies and complex topographical constraints. Based on ArcGIS and the analytic hierarchical process(AHP), the paper analyzes the current land use pattern by combining the topographic and geomorphological features of Yunnan mountainous areas, constructs an evaluation model on site selection for mountainous photovoltaic projects, and evaluates the site suitability of mountainous photovoltaic projects on the land in Huize County, Yunnan Province. The evaluation shows that the land suitability in Huize County is as follows: 7.52% of the total area is extremely suitable, 16.86% is highly suitable, 14.19% is moderately suitable, 7.63% is lowly suitable and 53.80% is unsuitable, and the suitable areas as a whole show the characteristics of "more in the north, fewer in the south, distributed along the road, and clustered in the central part of the county".
  • Zhao Danyang, Tang Xujing, Wang Tian, Guo Wei
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    To solve the problem that PV power fluctuates significantly and is difficult to predict, this paper proposes a combined PV power prediction model based on similar day clustering and an WOA-WMD-TCN-Transformer model. Firstly, K-means ++ is used to cluster similar days. Then WOA was used to optimize VMD parameters, and the PV power sequence was decomposed into multiple Intrinsic Mode functions(IMFs). The IMF components and meteorological factors were weighted and combined into a new feature vector and fed into the subsequent model. Based on TCN-Transformer, IMF under different weather conditions can be predicted separately and the predicted value can be obtained after superposition. Finally, the photovoltaic power generation and meteorological data of Hanwha Solar Photovoltaic Station, a desert solar Research Center in Alice Springs, Central Australia, were used as an example to verify the validity of the model. Ablation experiments and comprehensive evaluation show that the proposed model can achieve high prediction accuracy under various weather conditions.
  • Song Yu, Xu Ye, Wang Xu, Li Wei, Chen Zhe
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    Aiming at some problems involved into data preprocessing process of PV power prediction such as single evaluation criteria for similar day selection, fluctuating and non-stationary characteristics of original power series, as well as the difficulty in generating optimal parameter combination of the prediction model, this paper proposes a day-ahead NGO-CNN-LSTM (northern goshawk optimization-convolutional neural network-long short-term memory) short-term PV output prediction model based on similar day selection and double decomposition. Firstly, the Pearson correlation coefficient is used to identify the main meteorological factors; then, the comprehensive similar day selection method combining Euclidean distance and Frechet distance is utilized to select the historical similar day for the predicted day and generate the training set. Secondly, complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) is used to decompose the historical power sequence of the training set; correspondingly, multi-scale permutation entropy(MPE) is introduced to reconstruct the components with high entropy values. Next, variational mode decomposition (VMD) based on northern goshawk optimization (NGO) is used for the secondary decomposition of reconstructed non-stationary components. The components are reconstructed according to their MPE values. Finally, NGO-CNN-LSTM models corresponding to each reconstructed sequence are constructed, where their predicted results are summed to obtained the final prediction results. The application of the proposed model in PV power station of Yunnan province shows that compared with other benchmark models, NGO-CNN-LSTM model based on similar day selection and double decomposition has the higher prediction accuracy, which has the practical and feasible guide significance for the production plan of power station and the reasonable formulation of electricity market participation strategy.
  • Zhang Fei, Liao Qianguo, Li Xingcai, Hu Weiwei, Bo Tianli, Ma Xin
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    This study introduces a novel hybrid forecasting model, which uniquely employs the sparrow search algorithm to optimize the parameters of variational model Decomposition. Subsequently, the model utilizes variational mode decomposition and complete ensemble empirical mode decomposition with adaptive noise for dual rounds of time series decomposition related to solar power, followed by the application of convolutional neural networks and long short-term memory with attention mechanisms to train and forecast the decomposed series data. The proposed model undergoes validation using real-world data across various weather conditions and resolutions. The results consistently demonstrate the superior predictive performance of the new method across different time resolutions (2 or 10 minutes), forecast ranges (1, 3, or 5 days), and diverse weather conditions, with a remarkable correlation coefficient of the predicted values exceeding 0.97.
  • Fan Hechang, Du Mingxing
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    This paper proposes a method for monitoring the internal bond wire aging of IGBT modules based on the combination of junction-temperature-immune electrical parameters. The relationships among the threshold voltage, transconductance, bond wire aging and junction temperature of IGBT modules are investigated. The transconductance of IGBT modules contains information about the aging state of the bond wire and the change of junction temperature. Threshold voltage, one of the best parameters for estimating junction temperature, is not able to assess the bond wire aging state when the measurement time is short and the bond wire breakage does not cause significant junction temperature difference. Using the difference in bond wire aging characterization between the module transconductance and threshold voltage, the influence of temperature differences caused by multiple factors on the monitoring of bond wire aging state under practical operating conditions is eliminated.
  • Ma Youjie, Pang Xiaoqin, Zhou Xuesong, Liu Yiming, Zhang Xinru, Wang Jiawei
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    To address the issue of deteriorating power quality in photovoltaic microgrid demand-side converters caused by complex uncertain disturbances, a corrective active disturbance rejection control (ADRC) strategy integrating adaptive rules is proposed. First, the disturbance observation transfer function of the linear extended state observer part is corrected to avoid certain errors at steady state, enabling more accurate tracking of total disturbances. Second, rule-based design is used as a parameter optimization mechanism to adjust the outer-loop controller parameters online in real time, further optimizing the system's speed and accuracy performance. Then, based on theoretical derivations regarding the total disturbance reconstruction capability and disturbance suppression ability, the internal rationale for how the proposed strategy can effectively enhance system control quality is pointed out, and the system stability is proved using the Leonard-Chipart stability criterion. Finally, the effectiveness and feasibility of this strategy are verified through digital simulation results and robustness analysis under parameter perturbations.
  • Long Kui, Mou Weiqi, Li Qiuhui, Liu Jiawei, Chen Xukai, Su Sheng
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    Extracting high-frequency data related to series arc faults presents considerable challenges.To solve this problem, we propose a super-resolution reconstruction method for series arc current based on Time-GAN (Time-Generative Adversarial Network). This method aims to perform super-resolution processing on time-domain sampled current signals to obtain higher frequency time-domain signals, thereby achieving higher frequency domain signals. Firstly, a true-scale experimental platform for low-voltage arc faults in photovoltaic systems was established, and relevant data were collected at different sampling rates. Secondly, we analyzed the impact of different sampling rates on time-frequency domain data collection. Then, we applied the super-resolution algorithm to the low sampling rate time series data to generate high sampling rate time-frequency domain data, and compared it with the original high sampling rate time-frequency domain data. Experimental results demonstrate that the Time-GAN-based time super-resolution algorithm significantly enhances the sampling frequency of current signals.
  • Zhang Yuanjuan, Shen Fuhua, Xu Jinbo, Zhang Lijun, Lin Huan
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    With a composite film made of polyvinyl butyral, boron nitride, and carbon nanotubes as the study subject, artificial UV radiation experiments were conducted to investigate the two critical factors influencing the thermal conductivity of composite films: irradiation time and intensity. The transient electrothermal technology was used to measure the thermophysical properties of the film. The findings indicate that the composite film performs best at a mass ratio of carbon nanotubes to boron nitride of 5:5. The thermal conductivity of the composite film still approaches 0.26 W/(m·K) at a UV radiation intensity of 10 W/m2. The material’s internal structure starts to break down and deteriorate as the radiation duration increases. In order to investigate the UV aging mechanism of the composite adhesive film and the effects of cross-linking and degradation reactions on the material thermal properties, alterations in the characteristic peaks of the samples pre- and post-UV irradiation were analyzed using solution-state NMR.
  • He Yijie, Chu Ying, Xia Nenghong, Jiang Zhengyuan, Li Xi
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    Addressing the prevalent issues of low recognition accuracy and inaccurate detection in current solar cell defect detection models, this paper introduces a novel method, YOLO-DSBF, for solar cell defect detection. Firstly, the C2f layer in the YOLOv8 head network is integrated with Dynamic Snake Convolution (DSConv) to create the C2f_DSConv module, which enables adaptive focusing on elongated local defects. Secondly, a dynamic sparse attention mechanism (BiFormer) is incorporated into the neck network, facilitating more flexible computation allocation and content awareness, thereby enhancing the model's feature extraction capabilities. Subsequently, a small object detection layer is introduced to target micro-defects, effectively mitigating the missed detection rate. Lastly, replacing the original CIoU loss function with the GIoU loss function effectively enhances the regression performance of the algorithm. Experimental results reveal that, in comparison to the baseline model YOLOv8n, the proposed model exhibits improvements of 5.64%, 5%, and 13.29% in mAP@0.5, mAP@0.5:0.95, and precision, respectively. Without increasing the model size, this model surpasses other detection models in detection accuracy, rendering it more appropriate for solar cell defect detection tasks.
  • Huang Shichang, Dong Weiliang, Shi Lei, Shao Jie
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    Field measurements are made in front of the wave-dissipative seawall during two typhoonevents to investigate wave characteristics under varying tidal levels in ultra-shallow sea environments with highly gentle slopes. During tidal cycles, the maximum wave height-to-water depth ratio reaches 0.61. Post-breaking wave phenomena exhibit wave recombination. The root mean square (RMS) wave height-to-water depth ratio is relatively low, with a maximum value of approximately 0.3. Due to wave breaking, the ratio of the maximum wave height to the average wave height is found to be 1.46 and 1.47, respectively, during the two typhoon processes. The Rayleigh distribution is found to adequately fit the wave height distribution in water depths below 2 m, In constrast, the Glukhovskiy distribution provides a better fit for wave height distribution in water depths above 3 m. For water depths between 2 and 3 meters, the fitting accuracy of both distributions is slightly lower. For the measured wave, the skewness of the height distribution is primarily positive, while the kurtosis is negative. Its wave height distributionexhibits greater symmetry compared to the Rayleigh distribution, showing a flatter pattern and a wider domain than both the Rayleigh distribution and the Grukhovsky distribution . Moreover, a strong correlation is observed between the kurtosis and skewness coefficient of the measured wave. Spectral analysis reveals during Typhoon Khanun, lower-frequency surges are predominant, accompanied by a secondary low-frequency wave with weak energy. In contrast, during Typhoon Haikui, two primary low-frequency wavecomponents are dominant, while wind waves, which are relatively weak, are concentrated in the high-frequency range.
  • Zhao Xin, Luo Jiabin, Jiang Anqi, Hu Hao, Ma Yukun, Zhang Shuqing
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    Aiming at the problem that the large uncertainty of PV power leads to its low prediction accuracy, a short-term prediction method of PV power based on improved phase space reconstruction and multi-channel convolution-feature pyramid networks(FPN) is proposed. Firstly, the phase space reconstruction method is improved to reduce the computation by finding the delay time via maximum joint entropy based on symbolic analysis, and the embedding dimension for unfolding the chaotic structure is quickly and automatically determined by the improved Cao algorithm, which has accuracy and efficiency. Then we reconstruct the PV power with the improved phase space method and prove that it has chaotic characteristics, extract the chaotic features by multi-channel convolutional neural network (Mul-CNN), and at the same time, utilize the FPN network to fuse the chaotic features of the PV power with the meteorological features as the dynamic input features of the FPN network, to fully exploit the chaotic features of the FPN network. network, fully exploiting the spatial features between the data, and finally obtaining the prediction results through multiple fully connected layers. The method is evaluated on a domestic public dataset to do experiments, and compared with other network models, it proves that the prediction model is more accurate.
  • Xu Hengshan, Wang Siwei, Zhang Xujun, Li Chenyang, Huang Yongzhang
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    To address the difficulty in obtaining control methods and parameters for low voltage ride through of photovoltaic inverters, which leads to limitations in establishing precise simulation models and analyzing grid-connection characteristics, a method for identifying the control methods and parameters of photovoltaic inverter electromechanical transient models is proposed based on the multi-objective differential evolution algorithm. First, the hardware in the loop test of the PV controller was carried out based on RT-LAB to obtain the LVRT cases required for parameter identification. Second, key points in the cases are extracted to establish the identification dataset, and the control parameters of the inverter in the specified power and specified current modes are identified separately using the MODE algorithm. An adaptive parameter tuning strategy and non-dominated sorting are introduced to improve the algorithm performance. Finally, the simulation results of LVRT cases under different control modes are compared to determine the control mode of the inverter. The results show that the proposed method can accurately identify the control methods and parameters of the photovoltaic inverter electromechanical transient model.
  • Feng Pingping, Wen Qiao, Wang Xiao, Yang Jing, Wang Tao, Xu Linghua
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    This study proposes an innovative dust accumulation prediction model for photovoltaic (PV) modules through the integration of an improved dung beetle optimization algorithm (IDBO) with a hybrid neural network architecture combining a bidirectional temporal convolutional network (BiTCN), a bidirectional long short-term memory (BiLSTM), and self-attention (SA). The developed model achieves accurate prediction of PV module transmittance, subsequently enabling dust density estimation through established transmittance-dust density correlation formulas. The architecture strategically employs BiTCN for local feature extraction, BiLSTM for capturing global temporal dependencies, and SA for dynamic feature weighting optimization, thereby enhancing overall prediction precision. Furthermore, the IDBO algorithm is implemented for hyperparameter optimization to maximize model performance. To validate the approach, we establish an IoT-based data acquisition platform that collects comprehensive PV module transmittance data and associated environmental parameters, forming a robust dataset for model training and evaluation. Experimental results demonstrate superior performance metrics with root mean square error (RMSE) of 0.0126, mean absolute error (MAE) of 0.007, and prediction accuracy reaching 96.26%, significantly outperforming benchmark algorithms. This advancement enables more precise dust accumulation forecasting.
  • Qiu Ye, Deng Kaiying, San Bingbing, Wei Xin, Wang Shixiong
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    To investigate wind load characteristics of dual-slope photovoltaic arrays, wind tunnel tests with rigid models were conducted to study the effects of wind direction, inclination angle and spacing of photovoltaic modules on mean wind pressure coefficients, shape coefficients, interference factors, and extreme wind pressure coefficients. The mechanism of wind pressure distribution in the vulnerable areas of photovoltaic modules was discussed through the analysis of wind pressure spectra. Recommendations for wind loads were proposed by comparing the results with Chinese and American load codes. The results show that the most unfavorable wind directions for the shape coefficients of windward and leeward photovoltaic modules are 0° and 15°, respectively. In the case of inclination angle of 20°, the shape coefficient may be underestimated by Chinese code. Wind loads on photovoltaic modules are more sensitive to inclination angle and wind direction than to module spacing. The wind-induced interference effect of dual-slope photovoltaic arrays cannot be ignored. The shielding effect becomes more significant with increasing inclination angle; however, amplification effects may occur under specific conditions. Under the influence of vortices formed by separated shear layers, the extreme wind pressure and suction values are both found at the windward corners of dual-slope photovoltaic modules. The absolute value of extreme wind pressure coefficients increases with increasing module inclination angle, and the design wind loads for the envelope structures recommended by the codes tend to be conservative.
  • Chen Gao, Zheng Damin, Tong Zhuo, Zhu Aolin, Wang Jun, Tong Haixia
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    This paper introduces the principle and application of anti-reflection and self-cleaning thin films. By adjusting the refractive index, thickness and number of layers the thin films, the light reflection loss can be effectively reduced, and the transmittance can be enhanced, so as to improve the power conversion efficiency. The advantages and disadvantages of single-layer, double-layer and multilayer anti-reflection thin films are also discussed. By adding the function of self-cleaning on the basis of anti-reaction coatings, as well as surface modification and decorating photocatalytic materials, the hydrophilic or hydrophobic functionalization can be achieved. Finally, the future development prospect of anti-reflective self-cleaning thin films is discussed.
  • Qu Aiwen, Gui Ren’ao, Zhao Wenbo, Jiang Dongbo, Zhou Yangzhong
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    In order to improve the stability of the photovoltaic (PV) grid-connected multi-inverter parallel system with widely varying grid impedance, a multi-functional PV grid-connected inverter with active damper function based on energy-stored quasi-Z-source inverter is proposed, which simultaneously achieves grid-connected power generation and resonance suppression. Firstly, the circuit parameter design criteria for the multi-functional grid-connected inverter are presented. Then, an overall control strategy based on inverter side current feedback, considering the influence of the phase-locked loop (PLL), and the corresponding control parameter design method are provided. In the control strategy, the phase margin of the original port impedance is increased to improve the system stability by employing phase lag compensation in the capacitor current feedback loop. Additionally, the virtual impedance satisfying the damping target resonance frequency band is constructed at the output end of the multi-functional inverter to achieve resonance suppression in the multi-inverter parallel system. Finally, the feasibility and effectiveness of the proposed multi-functional PV grid-connected inverter are verified through experiments.
  • Zhao Jingying, Li Bicheng, Wu Jingjing, Liu Jianmeng
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    The line-ground faults, unipolar grounding and rainy day grounding faults that tend to occur in photovoltaic arrays in complex environments are investigated. In view of the ineffective detection of line-ground faults under low irradiance or high mismatch ratio, the variation patterns of key parameters based on the multi-irradiance modes are proposed, and the rightmost power peak voltage VRPP, the rightmost power peak current IRPP are determined as the feature quantities of line-ground faults. The voltage correlation between faulted and non-faulted poles is analysed by Pearson correlation coefficient to determine the feature quantity of unipolar grounding fault. In view of the mechanism of common mode current generated by rainy day grounding fault, the fault feature quantity is proposed based on wavelet transform and total harmonic distortion rate. Finally, the ground fault diagnosis model of PV array based on improved cuckoo search algorithm optimised support vector machines (ICS-SVM) is constructed, and the validity of the proposed ground fault feature, the diagnostic accuracy and convergence speed of the model are confirmed by simulation and experimental validation under different irradiance levels on sunny and rainy days.
  • Shi Chaojun, Xie Xiongbin, Zhang Ke, Su Zibo, Zhang Xiaoyun, Li Xingkuan
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    In existing cloud image segmentation research, most methods only distinguish between the sky and clouds, neglecting the inherent differences among various cloud types. In addition, many current models are computationally intensive and inefficient, making them unsuitable for the real-time segmentation of cloud images and thus limiting their application in ultra-short-term photovoltaic power forecasting. To overcome these challenges, we propose CloudSwinNetLite, a lightweight fine-grained cloud image segmentation network. The model adopts an encoder-decoder structure with Swin Transformer as the base module, using a lightweight multi-head self-attention mechanism (W-GLWMSA) and a ghost-based inverted residual feed-forward network (GIRFFN). These designs jointly enhance computational efficiency while preserving high segmentation accuracy. Experimental results demonstrate that CloudSwinNetLite achieves effective fine-grained cloud segmentation with substantially reduced computational cost compared with existing models.
  • Lin Keman, Xiang Wenxin, Gu Ran, Wang Canmin, Wu Feng, Bai Jianbo
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    The combined operation of concentrating solar power and photovoltaics(PV) is an effective way to deal with the curtailment of solar power generation. The unit commitment problem involving concentrating solar power (CSP) system is solved by the proposed distributionally robust optimization method considering the receiver operation mode. The proposed method fully considers the uncertainties of CSP and PV output while ensuring the robustness and economic efficiency. Firstly, a detailed model of CSP plant considering the receiver operational mode is built taking account of the real-time state of thermal energy storage as well as the solar-thermal-electric energy conversion process. Secondly, a distributionally robust optimization method for the unit commitment model is proposed based on the complementary operation mechanism between CSP and PV. The columns and constraints generation algorithm is employed to solve the optimization problem and the total operation cost is minimized. Finally, typical scenarios are generated through historical data clustering, and the effectiveness of the proposed method is verified by the numerical results.
  • Qi Zihao, Wei Min, Wang Shaojie, Guan Renhui, Sun Hongyu, Song Haoran
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    A single span 8 m of the sawtooth type multi-span greenhouse (STMG) in Changde city is taken as the research object based on the requirements of production and engineering construction. Ladybug Tools, a new type of building environment simulation plug-in, was used to investigate the influence of the variation of orientation and ridge position on the light environment in the greenhouse, and the optimal ridge position of the STMG with east-west and south-north was obtained. The results show that the lighting performance of the STMG is the best when the ridge-position ratio is 5.6∶2.4. The daytime illuminance of the STMG in the north-south greenhouse is higher than that in the east-west greenhouse. Under the optimal ridge-position ratio, the difference of illuminance is small, but the difference of solar irradiance is large. The solar irradiance inside the east-west greenhouse is 7.47 W/m2 higher than that inside the south-north greenhouse, which means that the east-west greenhouse has a stronger ability to acquire solar energy. This paper realizes the simulation of the light-environment of horticultural facilities based on Ladybug Tools, and obtains the optimal ridge-position ratio of the STMG.
  • Li Xiaolin, Wu Haifeng, Xu Rongji, Wang Ruixiang, Zhao Yuanqiang
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    In order to improve the efficiency of solar energy utilization in buildings, a solar pulsating heat pipe collector based on Fresnel concentrator is proposed, and the operation performance of the device is experimentally tested by using carbon nanotube-doped metal nanofluid as the heat transfer medium. Comparative studies show that the doped metal nanofluids exhibit better light-absorbing properties, and the higher the concentration, the better the light-absorbing properties. During the test period, the maximum temperature in the evaporation section of the collector was 119.5 ℃, and the average photothermal conversion rate of the device was the highest (69.4%) when the concentration was 0.015‰, which was 48.5% higher than that of hydrofluoroether. Appropriately reducing the liquid filling ratio of pulsating heat pipes is conducive to the improvement of solar energy conversion efficiency.
  • Gao Bo, Xu Xiaocheng, Yang Xiangyu, Huang Tao, Mao Kai
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    For the pentagonal heliostat driven by a dual linear-arm drive, a model of a regular pentagonal heliostat with an area of 48.5 m² was constructed, and numerical simulations were conducted using the SST k-ω turbulence model. The primary objective of the study was to evaluate the surface wind pressure and surrounding flow field characteristics, as well as to analyze the drag coefficient and pressure distribution at different elevation angles. Additionally, the impact of wind pressure on mirror deformation was examined using a static structural analysis module. The simulation results indicated that the drag coefficient gradually increases with the elevation angle, reaching a maximum value of 1.28. Furthermore, the structure-flow coupling analysis revealed that the deformation of the mirror reaches its maximum at an elevation angle of 90°, with a deformation value of 6.24 mm, and the maximum deformation occurs at the sharp corner above the heliostat.
  • Luo Xu, Cheng Jing
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    Aiming at the problems of difficult regulation of large-scale electric vehicles and low real-time consumption rate of renewable energy, a scheduling strategy for electric vehicle cluster-grid interaction considering users’stochastic travel behavior is proposed. First, the user travel scenario is constructed based on the road network topology the NHTS2017 database, and the user random travel behavior is simulated by Monte Carlo method. Second,the concept of electric vehicle cluster operator is introduced, the user vehicle characteristics and spatio-temporal characteristics are extracted by real-time computation, and the dispatchable physical model of electric vehicle cluster is created based on the Minkowski-sumcon cept. Finally, with the goal of minimizing operation costs, the integrated dispatch model of a distributed grid considering users’stochastic travel behavior is established to solve the optimal allocation scheme of each subject’s output. Taking a distributed grid in Jiangsu as an example, the results show that the proposed scheduling strategy reduces users’charging cost, improves users’random travel satisfaction and new energy consumption level, reduces the operating cost of thermal power units and realizes the friendly interaction between users and the grid.
  • Zhang Jiayi, Zeng Bo, Wang Yuan, Meng Zishuai, Liang Chen
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    As an emerging load with rapid development, data centers consume alrge amounts of energy and water indirectly causing a large amount of carbon emissions. In order to respond to the national low-carbon development goal and promote the sustainable use of resources, a joint planning strategy of data center and distribution network-water distribution network considering distributed renewable energy access and carbon trading market is proposed. Considering the uncertainty in the model, in order to balance the economy, low carbon and robustness of the system, a two-stage distributionally robust optimization method is used for the solution, and the 0-1 variables of the lower problem are dealt with by alternating optimization. Finally, the effectiveness of the proposed method is verified through a numerical case study.
  • Ji Zhendong, Huang Lifei, Yu Jianyang, Liu Xiaokang, Zhang Wei, Hou Shubin, Chai Tingyi
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    Aiming at the problem of frequent voltage fluctuations under the access of large-scale distributed renewable energy and impulsive loads in the port distribution grid, a reactive power optimization strategy for the port distribution grid with power router (PR) and multiple distributed energy sources is proposed. Firstly, based on the analysis of the characteristics of the impulsive load and reactive power control equipment in the port area, a comprehensive model of reactive power optimization with the goal of minimizing grid loss and voltage deviation is established. Then, an improved multi-objective gold rush optimizer (MOGRO) is adopted as the optimization algorithm. Finally, the improved IEEE-33 bus system is used to compare and simulate different algorithms and scenarios, which proves that the improved MOGRO has more advantages, and the port distribution grid with PR has better advantages in reactive power optimization than the port distribution grid with on-load tap changer (OLTC).
  • Luo Xi, Wang Yupan, Zhang Yuanqing
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    This study takes the solar-air source heat pump heating system as an example. Based on the joint optimization of system capacity configuration and operation strategy, we propose an exergy-carbon flow node carbon potential calculation method that considers energy quality differences. This method is applied to the solar-air source heat pump heating system at a university campus in Xi'an. The results showed that in terms of natural conditions, solar irradiance is not significantly correlated with nodal carbon intensity, but there is a significant negative correlation between outdoor temperature and nodal carbon intensity. In terms of system performance, there is a significant negative correlation between the solar collector efficiency, the performance of the air source heat pump, and node carbon intensity. Compared to the conventional node carbon potential calculation method that does not consider exergy, the exergy-carbon flow node carbon potential calculation method yields higher results. The difference between the two methods increases as the heat load decreases. In the supply network, from 01:00 to 08:00, the difference between the two node carbon intensity calculation methods is small, stabilizing around 2%. However, from 09:00 to 13:00, the difference significantly increases, reaching up to 13%. From 14:00 to 24:00, there is no significant difference between the results of the two methods. In the return network, the difference between the two node carbon intensity calculation methods is particularly pronounced during both the 01:00 to 08:00 and 09:00 to 13:00 periods, exceeding 10%. From 14:00 to 24:00, there is no significant difference between the results of the two methods.
  • Guo Yunfeng, Qian Jiangbo, Liu Ao, Wu Di
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    To tackle the challenge of source-load imbalance caused by the underutilization of renewable energy and the variability in user demand,this research introduces a multi-time scale optimization strategy for an integrated energy system featuring multiple energy storage units. The proposed strategy employs a systematic three-tier optimization framework,designated as “day-ahead—intra-day—real-time peak regulation and frequency modulation”. This framework meticulously refines the operational plans for all system components at different stages. Specifically,the day-ahead optimization operates on a 1-hour time scale, the intra-day optimization on a 15-minute interval,and the real-time adjustment on a 1-minute cycle. In real-time planning, supercapacitor(SC) equipment is incorporated into the output plan for each day-intra equipment schedule,employing variational mode decomposition(VMD) frequency division technology. The system’s differential power is divided into high-frequency and low-frequency components,and both the energy-type and power-type storage devices are reconfigured. Through this process,the study determines the optimal VMD frequency-dirition ration. The results show that the charge and discharge cost of the lithium-ion battery can be saved 90% by increasing the supercapacitor in the real-time optimization stage,and the charge and discharge times are reduced from 131 to 13 times.
  • Jia Jiahuan, Yang Peihong, Shi Xizhi, Ren Zheng, Zheng Bowen
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    Multi-energy coupling, efficient utilization, and low-carbon operation are the inevitable conditions for building a new energy system. This work aims to study the low-carbon economic dispatch of an integrated energy system (IES) considering an oxy-fuel combustion power plant (OCPP). Firstly, the carbon trading mechanism is taken into consideration when building the OCPP-IES architecture. A cooperative operation mode integrating the OCPP oxygen generator and P2G is suggested, along with the operation features of P2G in OCPP and IES. Secondly, the IES optimal scheduling model with OCPP is established with the lowest IES operating cost as the target. According to the surplus of renewable energy, it is divided into two scheduling modes to reduce the cost of oxygen production. The non-linear models are converted into linear models using the piecewise linearity approach, and SCIP then determines the best scheduling plan. Finally, the feasibility of the proposed method is verified by setting five scenarios, and the calculation results show that the proposed scheduling method can further reduce the system operation cost and reduce carbon dioxide emissions.
  • Hu Shuibin, Li Dahua, Kong Xiangyu, Zhang Delong, Huo Xianxu
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    Under the electric carbon trading mechanism, the configuration of shared energy storage stations in integrated energy systems can effectively improve overall energy utilization efficiency. How to coordinate the energy demands and benefit distribution among various agents within the system constitutes a key challenge in achieving low-carbon and economic development of integrated energy system.In this regard, the paper proposes a master-slave game optimization operation method of multi-body integrated energy system considering shared energy storage under the electric carbon market. Firstly, a multi-subject energy interaction architecture under the electric carbon market is constructed; secondly, a multi-subject integrated energy system optimization operation model is established by combining the benefits of each subject; then, a master-slave game mechanism with one master and many slaves is established with the system operator as the leader and the load aggregators, parks, and shared energy storage power stations as the followers, and the equilibrium solution of the game is calculated by the improved adaptive variant particle swarm algorithm. Finally, the proposed method is verified by the case study, showing that it can effectively coordinate the conflicting interests of multiple subjects, enhance the economic benefits of the integrated energy system and reduce carbon emissions.
  • Wan Yong, Cheng Qiuwei
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    Using wave field data from the fifth generation ECMWF re analyses (ERA5) over the past 15 years, this study selects optimal locations for joint wave and wind energy power stations on islands off the Shandong Peninsula. Each site employs commercial wind turbines (WT) and wave energy converters (WEC) to form combined power stations. The study analyzes the potential benefits of these combined stations from multiple perspectives, including smoothing of power output, capacity factor, and downtime. The results indicate that the specific wind-wave installed capacity ratios at Dongzhudao, Zhuchadao, and Zhaitangdao significantly reduce the variability in power output and downtime of the combined stations, demonstrating a higher joint development potential compared to other islands. Additionally, the combined stations at all selected sites effectively reduce the duration of low power output.
  • Ma Wenjing, Han Wei, Song Xinyang, Liu Qibin
    To achieve efficient and low-carbon hydrogen generation, a zero carbon emission hydrogen production system combining methane and solar energy is proposed. The system decouples one-stage methane reforming into two-stage methane reforming: a portion of high-temperature flue gas is introduced into the pre-reforming reactor as reactants, and the reaction heat is provided by solar energy; The reaction heat during the reforming process is providedby combusting purge gas with oxygen from the electrolytic cell. Another part of the flue gas is directly condensed and separated carbon dioxide after preheating the water to be electrolyzed. Energy and exergy balance analyses are conducted on the proposed and reference systems. The results demonstrate that the energy and exergy efficiencies of the proposed system are improved to 42.88% and 39.21%, respectively, by 4.77 and 4.53 percentage points compared to the reference system. Using the exergy utilization diagram (EUD) reveals the main reasons for improved system performance. Comprehensive utilization of solar energy through thermochemistry and electrochemistry. This not only increases the efficiency of solar energy utilization, but also eliminates high-energy consumption carbon dioxide separation devices, resulting in a total increase of 4.23 percentage points in exergy efficiency. The two-stage methane with flue gas reforming process reduces the exergy destruction of high-grade methane chemical energy into low-grade thermal energy during combustion, as well as the heat loss in the heat exchange process, resulting in a total increase of 2.02 percentage points in exergy efficiency.
  • Han Xiaojuan, Yang Xiaoyan, Li Haoyu, Guo Siqi
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    This paper proposes a three-layer capacity optimization configuration method for multi scenario wind-thermal-hydrogen-storage multi energy complementary systems based on analytic hierarchy process (AHP)-border collie optimization (BCO)-grey relationship analysis (GRA) to address the issues of grid fluctuations and insufficient peak shaving capacity caused by a high proportion of new energy grid integration. The improved complementary ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) technique is utilized to decompose wind power output and optimize the adaptive capacity distribution among lithium iron phosphate batteries, alkaline electrolyzers, and proton exchange membrane electrolyzers. Taking into account the economic, environmental and reliability of thermal power units, the optimal capacity of thermal power units is determined using AHP for smoothing wind power fluctuations and deep peak shaving scenarios; An optimal capacity configuration model for energy storage systems is established using BCO with the goal of minimizing the cost of multi-energy complementary systems. From the perspective of safety in the electric hydrogen coupling system, GRA is used to verify the rationality of the capacity configuration results of the electric hydrogen coupling system. The effectiveness of this method is verified through actual operating data from a power station in China. The simulation results show that the grid connected fluctuation rate of 10 minutes obtained by the method proposed in this paper is the lowest at 15.58%, and the deep peak shaving depth of the auxiliary thermal power unit decreases from 30% to 24.99%.
  • Zou Yang, Shi Songhao, Yao Yujia, Huang Yu, Fang Menghong, Jin Tao
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    With the increasing penetration of clean energy sources such as photovoltaic (PV), the uncertainty of their output has caused the vulnerability and high operation and maintenance cost of hybrid AC/DC distribution grid systems, Therefore, a bi-level planning method for energy storage in hybrid AC/DC distribution grids is proposed. Firstly, a PV output scenario generation method based on extreme learning machine is proposed to accurately portray the PV operating characteristics by introducing meteorological factors; secondly, an energy storage two-layer planning model that takes into account the economy, low carbon and comprehensive vulnerability of the grid is constructed, and the optimal energy storage configuration is solved by iteratively solving the parameter iterations between the planning layer and the operation layer in the model; Finally, the proposed method is simulated and analysed by improving the IEEE 33-node AC-DC hybrid distribution system. The results show that the scenario set generated by the improved scenario generation method taking into account the meteorological factors can better characterise the PV output volatility, and the proposed configuration method can reduce the carbon emission of the system and the system vulnerability and improve the economic performance of the system operation.
  • Zhang Zhongbin, Zhao Zhihua, Wang Ping, Zhai Pan
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    Focusing on the coordination of interests between the energy side and the load side in microgrids, this paper proposes a dynamic energy pricing mechanism that incorporates carbon emissions and demand response characteristics. Firstly, a dynamic pricing model considering carbon emissions as well as the demand response of electrical and thermal loads is established, and a combined operational mode of wind-solar power generation and carbon capture is put forward. Secondly, a bi-level optimization model involving multiple stakeholders is constructed, where the upper level consists of microgrid energy operators and the lower level includes load aggregators and electric vehicle charging stations. Subsequently, to address the issue of searching for the optimal solution in the bi-level model, a joint optimal discrimination mechanism for the bi-level model is introduced. Finally, the CPLEX solver is employed to iteratively solve the microgrid bi-level optimization model, and the case study results verify the effectiveness of the proposed dynamic energy pricing method and the combined wind-solar power generation-carbon capture operation mode in enhancing the economic efficiency and low-carbon performance of the microgrid system.
  • Han Lu, Li Shaolin, Qin Shiyao, Yuan Chang, Li Pengkun
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    Aiming at the problem of insufficient quantitative comparative study on the wideband dynamic characteristics of the grid-following/grid-forming converters, this study initially constructs a small-signal model to represent the wideband dynamics of grid-following/grid-forming converters under virtual synchronous control, followed by comprehensive validation in both time and frequency domains. Building upon this foundation, the research employs eigenmode and participation factor analysis to quantitatively assess and compare the wideband dynamic characteristics and stability of the converters, identifying weakly damped eigenmodes and pinpointing critical control parameters. Moreover, utilizing the root locus method, the study quantitatively examines how active support parameters—such as virtual inertia and primary frequency modulation—along with grid strength, influence the dynamic characteristics of the converters and delineates their patterns of variation. Conclusively, the accuracy and validity of the findings are substantiated through the development of a detailed time-domain simulation model of the grid-following and grid-forming converters in Matlab/Simulink.
  • Liu Jiajia, Tian Mingxing, Liu Siyuan, Su Zhaoxu, Sun Lijun
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    In order to realize the collaborative management problem of multi-microgrids (MMG), and to balance the distribution of benefits between the distribution system operator (DSO) and each MG while guaranteeing low-carbon and economic operation of the system, this paper proposes a hybrid game strategy for multi-microgrids that considers electricity-carbon coupling trading. Firstly, a master-slave game model is constructed with the DSO as the leader and the MGs as the followers. Secondly, based on Nash bargaining theory, a cooperative game model between microgrids considering electricity-carbon coupling trading is constructed, and in the benefit distribution mechanism, the comprehensive contribution rate is used to ensure a fair and reasonable distribution of benefits. The distributed solution of this hybrid game is realized through the synergistic iteration of bisection method and alternating direction multiplier method (ADMM), which improves the computational efficiency while ensuring the information privacy. Comparative analysis and case studies demonstrate that the proposed strategy can effectively enhance the benefits of each subject, reduce the carbon emissions of the system, and realize the fair distribution of benefits among microgrids.
  • Cheng Xiangyang, Zhang Xiaojing, Yin Kaili, Liu Yiting, Xie Jingchao, Chen Guang
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    The heat transfer coefficient of the external surface of building envelope (ht) is a fundamental parameter in thermal calculations. However, the unique climatic conditions in high-altitude regions result in significant deviations in ht compared to standard values used for low-altitude areas. To determine the measurement methods and calculation values of ht in high-altitude areas, this study employed the naphthalene sublimation method and simplified radiation theory to measure the convective heat transfer coefficient (hc) and radiative heat transfer coefficient (hr) of the external surface of an exhibition hall in Lhasa. Based on typical annual meteorological data, the hourly values of ht for the entire year are calculated. The results demonstrate that the naphthalene sublimation method has a measurement error of 4.3%, confirming its applicability in Lhasa. The measured hc ranges from 2.22 to 20.33 W/(m2·K), with horizontal surfaces exhibiting values 0.86 W/(m2·K) higher than vertical surfaces, showing a linear correlation with wind speed. The hrranges from 4.50 to 5.61 W/(m2·K), with small variation, and an average value of 4.88 W/(m2·K) is recommended. Considering the actual wind speed and radiation conditions in Lhasa, the calculated annual ht values most frequently fall within the range of 10.00-15.00 W/(m2·K), with winter and summer averages of 15.63 and 16.69 W/(m2·K), respectively, both of which are lower than the standard recommended value of 18.00 W/(m2·K).
  • Liu Zhao, Zhang Yunfei
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    In the design of large wind turbines with variable speed pitch control strategy, due to the effect of pitch and the differences in the load bearing characteristics of the bolts at different pitch angle positions, it is necessary to take into account the magnitude and the direction of the overturning moment of the blade root, and the pitch angle in the fatigue calculation of the blade root bolts. This paper introduces a three-dimensional interpolation method of stresses with load magnitude, direction and pitch angle as input variables to realize more accurate fatigue calculation of blade root bolts without increasing the amount of finite element calculation. Taking a manufacturer’s design as an example, the relationship between the blade root loads and the simplification of the calculation have been discussed. Finite element method was used for the bolt stress analysis. On the basis of FEM results, the three-dimensional stress interpolation and fatigue cumulative damage calculation of the bolt have been completed.
  • Fu Bingzhe, Wang Wei, Luo Bixiong, Ren Zongdong, Li Yihuan, Yang Wolong
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    To achieve the optimization control of airborne wind energy systems (AWEs) that adapt to the dynamic changes of wind shear, and to accomplish efficient wind energy capture, a model predictive control (MPC) strategy based on mixed Gaussian process(MGP) is proposed. Initially, a quantitative analysis of the key factor of AWEs operation, wind shear, is conducted. MGP is utilized to model the significant statistical characteristics of the wind shear profile, providing prior wind speed information for height-optimized control. Subsequently, an adaptive MPC strategy integrated with a genetic algorithm is established to balance the optimal operation height and energy dissipation, ensuring that AWEs operates at the ideal height while reducing the energy consumed for control, thereby enhancing the net power generation of AWEs. Finally, the proposed optimization control strategy is validated based on the real wind shear data from a high-altitude wind energy generation demonstration project in China. The results indicate that the strategy can effectively increase the net power generation of AWEs, with an average increase of 18.9% compared to traditional fixed tower structures and 9.6% compared to the extremum seeking strategy.
  • Liu Xianqing, Ding Yu, Zhang Puyang, Zhang Yu, Li Wenlong, Yang Bo
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    The air flotation characteristics are a key aspect of bucket foundations. However, the mooring mechanism for this type of foundation during air-floating is not well understood. In this paper, model tests were conducted to analyze the taut mooring characteristics of a four-bucket foundation as a floating wind turbine foundation. The effects of draft depth, water depth, and anchorage distance on the motion response of the model were investigated. Our findings are as follows: the structure exhibits wave frequency motion in short periods and slow drift motion in large periods. As the draft increases, the heave motion shows an opposite trend to surge and pitch motion. The shallow water effect causes greater heave motion in shallow depths compared to deeper depths. Increasing the anchorage distance can mitigate the impact of slow drift on surge motion, but it increases the heave and pitch motion of the structure.
  • Song Jiye, Zhao Zhenzhou, Liu Yige, Liu Yan, Su Chunhao, Li Shijun
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    To investigate yaw's influence on aerodynamic noise, the NREL 5MW was studied using a semi-empirical model to analyze sound field directionality, sound radiation spectrum, sound propagation, and amplitude modulation noise in the near wake region under zero yaw and counterclockwise rotations of 5°, 10°, and 20°around the +z axis. Results show that yaw rotates the sound source direction, with sound pressure level and spectral characteristics largely unchanged. Peak sound pressure level is in the mid-to-low frequency range; axial and radial noise attenuates with yaw, but axial noise increases. Amplitude modulation noise is strongest in the crosswind direction, opposite the sound source, and yaw can reduce cross wind amplitude modulation noise by 2-6 dB. Therefore, the sound level and amplitude modulation noise intensity under specific wind directions can be reduced by adjusting the yaw angle.
  • Ma Wenguan, Qiu Xu, Liu Xin, Zhang Bo, Li Hui, Zhao Hao
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    By adding suction piles, the bucket size can be reduced , which is convenient for transportation and installation. In this paper, centrifugal model experiment and numerical simulation analysis were carried out for the suction pile-bucket composite foundation, and the influence rules of bucket diameter, bucket wall height, suction pile diameter and suction pile length on the bearing capacity performance were studied. The results showed that increasing bucket diameter the significantly improves the bearing performanee, while increaseing pile length enchanees the horizontal bearing performance. The shape of the V-H envelope is not affected by bucket length, pile diameter and pile length, but the size of the envelope will expand outward with the increase of bucket length, pile diameter and pile length, and the influence of bucket diameter on the envelope is the most significant.
  • Zhang Xianfeng, Ma Lu, Ding Jieyi, Qin Ming, Lei Xiao, Yang Yang
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    In order to investigate the dynamic responses of the IFES model under different wind-wave combined loads, the NREL 5 MW wind turbine, the ITI Energy barge-type platform and several Wavestar prototype WECs are employed for the case study. A coupled analysis tool is developed to examine the aero-hydro-servo-elastic coupled dynamic behavior of the hybrid system under wind and wave loadings. The platform motions and power characteristics of the IFES model are obtained and compared to that of the FOWT. The results indicated that the time-varying platform motions of the examined IFES models are significantly mitigated by the integration of WECs under all examined conditions. The platform roll and pitch is respectively decreased by 67.45% and 47.02% at wind speed of 12 m/s. Additionally, the output power of the IFES model is also increased by 1.89% under the rated wind speed of the wind turbine. The tower-base bending moment in rolling and pitching are also not negatively influenced to increase as well as fairlead tension of each mooring line. The obtained results have confirmed that the combination of WECs is not just beneficial in improving platform motion stability of the hybrid system, but also positively enhancing the renewable energy utilization efficiency.
  • Wang Binbin, Peng Liuliu, Huang Guoqing, Yang Xiaolong, Liu Weijie, Xin Zhiqiang
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    A wind turbine fatigue load surrogate model that can account for wake effects is proposed in this paper. First, reasonable samples of input parameters for the model are selected based on engineering experience. Then, TurbSim is used to generate corresponding inflow wind field files, and the FAST. Farm software is used to carry out simulations of dual wind turbine loads to obtain a database of fatigue loads in wake and non-wake regions. Finally, support vector regression (SVR) and backpropagation neural networks (BPNN) are used to establish wind turbine fatigue load surrogate models for wake and non-wake regions, respectively. The results show that compared with traditional wind turbine fatigue load surrogate models, the proposed model, which includes wind turbine spacing as an input parameter, can consider wake effects between turbines, making the modeling approach more reasonable. Furthermore, considering both R² and NRMSE evaluation metrics, the modeling performance of SVM is superior to that of BPNN, with the models generally predicting loads on blades and the tower-top more accurately than at the tower base.
  • Pan Xiaochun, Cai Shenghua, Lu Hongqian, Song Kunlin, Shu Jiaqing
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    The existing calculation methods for local scour around pile foundation under the combined action of waves and current have some shortcomings, and there is an urgent need to develop accurate and reliable analysis and calculation methods for local scour around pile foundation under the combined action of waves and current. According to 69 sets of physical model test data on local scour around pile foundation under wave and current effects, combined with analysis of the main influencing factors of scour, dimensional analysis and multiple regression analysis were used to select variables and their coefficients. Based on the accuracy analysis of 12 sets of regression analysis results and the analysis of the impact of pile foundation scale, and considering the pier-shape coefficient for foundation scouri, a new formula for calculating the maximum local scour around pile foundation under the combined action of waves and current is developed. Research has shown that a single factor calculation formula based solely on the Froude number of pile diameter is difficult to achieve high calculation accuracy; The verification using 12 sets of publicly released measured data and 6 sets of physical model data shows that the formula in this paper is superior to Han Haiqian's wave current formula, and more significantly superior to other methods. The formula in this article is applicable for the analysis and calculation of local scour around pile foundation under the combined action of waves and current on fine and medium sandy seabed. However, in the future, it is still necessary to continuously accumulate pile scour and marine hydrological data for improvement.
  • Xue Jiale, Chen Yongyan, Song Li, Su Xin, Bi Jinlong
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    In order to study the influence of different cavity structures on the drag reduction performance of wind turbine airfoil, the SST turbulence model was used to numerically simulate the NACA0012 airfoil with cavity, and the change of boundary layer axial velocity in the normal direction at 13° angle of attack was analyzed according to Omega criterion. The variation of the shear force on the airfoil wall and the range of influence on the viscous resistance with the increase of the angle of attack are analyzed. It is found that the starting point of the cavity is set at 75%c(chord length) of the airfoil, and the airflow resistance of the boundary layer on the surface of the airfoil is enhanced. In addition, the structure of the cavity presents an “crescent moon” shape, which can better contact the high-speed airflow outside the cavity to form a vortex cushion effect, thus reducing the viscous resistance of the wall. The study also found that the average torque coefficient increased by 3.88%, 3.33%, and 2.26% respectively at tip speed ratios of 1.2, 1.6, and 2.0.
  • Wang Su, Ma Lu, Zhang Xianfeng, Lei Xiao, Shen Xin, Du Zhaohui
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    This study takes a two-degree-of-freedom (pitching and plunging) wind turbine airfoil as the research project, for which an aeroelastic model is established. An airfoil dynamic stall model, which accounts for secondary dynamic stall vortices, is introduced as the nonlinear aerodynamic model. The effects of the aerodynamic and structural nonlinearity factors on the critical flutter speed and the post-flutter dynamic characteristics of the airfoil are analyzed under the influence of vertical turbulence. The results show that the influence of vertical turbulence on the magnitude of incoming flow velocity is weak, but it significantly disturbs the incoming flow angle of attack and causes large fluctuations in the nonlinear aerodynamic force, resulting in a lower critical flutter speed and increased vibration. Vertical turbulence destroys the synchronization of the two-degree-of-freedom vibration and changes the flutter type of the system. With increasing inflow velocity, the system vibrates more substantially, and the influence of structural nonlinearity on the aeroelastic response is more obvious.
  • Ji Yang, Yu Dongwei, Liu Houli, Jing Xueqi, Zhang Dayong
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    The NACA0012 airfoil was selected as the subject of study to investigate the three-dimensional flow characteristics and aerodynamic properties of iced airfoils. Model experiments were conducted using a direct-current wind tunnel to elucidate the changes in lift and drag forces of the iced airfoil under different incoming flow velocities. Aerodynamic performance studies on wind turbine blades under various icing conditions were carried out using the STAR-CCM+ software, analyzing the impact of icing on the surface pressure coefficients and aerodynamic performance parameters of the airfoil. The research findings indicated that the presence of clear ice had the most significant impact on the aerodynamic performance of the blades. At an incoming flow velocity of 10 m/s, the lift coefficient of the airfoil decreased by 34.9% and the drag coefficient increased by 97.2% with clear ice attachment; with mixed ice, the lift coefficient decreased by 33.6% and the drag coefficient increased by 22.7%; and with rime ice, the lift coefficient decreased by 24.1% and the drag coefficient increased by 27.2%.
  • Zhu Ronghua, Zhao Shulong, Zhang Rongsheng, Liu Hanqiu, Lai Zongyuan, Pan Yufei
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    Physical model tests were conducted in sandy soil to study the response characteristics of tripod bucket jacket foundations under cyclic loading. The cyclic rotation angle response, natural frequency, and damping ratio of the structure were analyzed. Based on the test results, an empirical prediction formula for the cumulative rotation angle of the foundation was proposed. The results indicate that an increase in cyclic load amplitude accelerates the accumulation rate of the foundation’s rotation angle. In a log-log coordinate system, the cumulative rotation angle of the foundation and the number of load cycles approximately exhibit a linear relationship. The natural frequency of the structure demonstrates a similar pattern of change under different cyclic load amplitudes: initially, there is a slight increase in the natural frequency, followed by a sharp decrease, and it then fluctuates around a certain average value as cyclic loading continues. The system's damping ratio sharply decreases at the beginning of loading, reducing to about 20% of the initial value, and then undergoes significant oscillations, with a variation of up to 80%.
  • Duan Lian, Wang Hongxi, Cao Shengzhi, Wang Aixiang, Yu Tianfeng
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    Doubly-fed induction generator (DFIG) low voltage ride-through (LVRT) requires high response speed and robustness for grid side and rotor side PWM converters. In order to solve the problem of slow response and poor robustness of traditional PI control strategy under the condition of low voltage ride-through, a novel control strategy based on differential flatness theory is proposed for grid side and rotor side. In this paper, the mathematical model of the grid side and rotor side of the DFIG on the d-q axis is described, and the flatness of the system is proved according to the differential flatness theory. Secondly, a two-sided differential flat current controller with feedforward reference trajectory and error feedback compensation is designed. Finally, the system simulation model is built in MATLAB /Simulink. The simulation results show that the application of this control strategy improves the ride-through capablity of DFIG during the grid low voltage period, and the response speed is fast and the robustness is strong. The feasibility and effectiveness of applying differential flatness theory to DFIG are verified.
  • Mou Zheyue, Wang Ruiliang, Zhang Peicheng, Chen Qian, Fan Zenghui
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    The tower load source is derived based on the load tranfer mechanicsm of wind turbine, This paper derives the sour tower load based on the load transfer mechanism of wind turbine, and the calculation formulas for tower and nacelle loads are validated using Bladed software. It is found that the rotor loads and nacelle acceleration are the main components of the tower tilt and roll moments. The high correlation between the tower moment loads and rotor loads characteristics including nacelle displacement or tilt angle and generator power, is evaluated with Person coefficient. With the tower bottom load as research subject, the surrogate model for tower bottom load with easy-measuring parameters as input is constructed based on the multiple linear regression algorithm, and the tower bottom resultant moment load can be identified in real time. The effectiveness of model is tested by the simulated loads of large-scale wind turbine, and it is showed that the relative error of ultimate load and equivalent fatigue load between identified and simulated results is controlled within 6%. On this basis, an on-line system for tower load identification and management is proposed.
  • Wang Yan, An Long, Li Haolin, Wang Bo, Li Ye
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    In order to reveal the wind field characteristics of downburst flow at different jet inclination angles and their effects on wind turbine blade deformation, this study simulated the wind field characteristics of atmospheric boundary layer at five jet inclination angles of 0°, 5°, 10°, 15° and 20° based on computational fluid dynamics method, analyzed the horizontal and vertical wind velocity profiles of downburst flow at different jet inclination angles. Meanwhile, the influence of wind field with different jet inclination angles on blade surface pressure distribution and structural deformation is explored. The results show that with the increase of jet inclination, the maximum horizontal wind speed on the side where the downburst occurs increases, and the rate of vertical velocity decreasing slows down. The change of inclination angle has anegligible effect on the pressure in the area where the downburst occurs. For the influence of turbulence intensity distribution, the turbulence intensity at the back of the jet region increases with the increase of jet inclination, while the turbulence intensity at the front side decreases. When the wind turbine is located in the downburst flow field with different jet inclination angles, the distribution of blade surface pressure is inhomogeneous, and the blade tip bears more wind pressure than other positions. With the increase of jet inclination angle, the blade surface pressure increases, the pressure of the near-ground two blades increases substantially, reaching the maximum value of about 50 Pa when the inclination is 20°. The pressure of the father-from-ground blade surface increases slowly. The structural deformation at blade tip and the equivalent stress in the middle of blade increase with the increase of the inclination angle. This study provides some theoretical support for the safe operation of wind turbines in extreme weather, also offers assistance for wind turbine anti-wind design.
  • Pang Heqing, Zhang Wanfu, Zhang Shidong, Xue Congcong, Liu Bing, Li Chun
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    To address the problem of damage identification of wind turbine tower flange bolts, this paper proposes a detection method of bolt fracture damage identification using vibration signal response, and establishes a damage identification index based on the absolute rate of change of vibration response energy based on the damage identification theory of frequency response function. Taking a 1.5 MW wind turbine as the research object, the strain, displacement and acceleration signals are compared and analyzed by numerical simulation, and the identification effect of the index under different damage conditions is obtained. The results show that the absolute rate of change of vibration energy based on strain response shows higher sensitivity and accuracy in identifying the bolt fracture damage compared with the displacement and acceleration response signals, and the energy damage indicator based on strain response shows a significant change at the bolt fracture damage site, which can accurately identify the bolt fracture damage location of the tower section flange of the wind turbine.
  • Chen Delong, Ren Wang, Yao Na’na, Li Chengliang
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    In order to improve the aerodynamic performance of large-thickness airfoils at the root of large blades and enhance the power generation of the blades, this study investigates the influence of T-shaped spoilers with different heights on the aerodynamic characteristics of two large-thickness airfoils using numerical simulation. The results show that within a certain range of angles of attack, the spoiler alters the pressure distribution on the airfoil surface and increases the lift coefficient, drag coefficient, and lift-to-drag ratio. As the height of the spoiler increases, the lift coefficient further increases. The increase in lift coefficient caused by the spoiler is significantly greater for the thicker airfoil compared to the thinner one. Installing a spoiler at the blade root simultaneously increases the annual energy production (AEP) and the structural load on the blade.
  • Ren Li’na, Jia Shilin, Li Jianhua, Li Kehan, Yan Leiqi
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    In order to solve the problem that it is difficult to formulate reasonable maintenance strategies for wind turbine multi-components and the problem of high operation and maintenance costs, this paper considers the economic relevance of each component and proposes a wind turbine boundary intensity opportunistic maintenance optimization model based on cost-effectiveness ratio. Firstly, based on the boundary intensity process, a hybrid failure intensity model is established to describe the change rule of failure; secondly, the idea of opportunistic maintenance and cost-benefit analysis are incorporated into multi-component preventive maintenance, and the maintenance methods are selected through the cost-effectiveness ratio; lastly, a numerical case study is analyzed with the help of four components of wind turbine, namely, generator, gears, blades, and bearings, and a comparison is made with the model of unconsidered opportunistic maintenance and the Weibull distribution model. The results show that the model in this paper reduces the total cost by 2.76% compared with the model without considering opportunistic maintenance, and sky 0.88% compared with the Weibull model.
  • Zhao Zihao, Zhu Enlin, Yu Daiguang, Luo Haidong, Zhou Han, Zhang Zhengfei
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    A three-dimensional finite element model of a four-pile foundation is established using ABAQUS software, and the strain softening constitutive relationship of soft clay is implemented through a VUMAT user subroutine. This study systematically investigates the influence of key parameters—such as the strain softening parameters δrem and ξ95, the strain rate parameter μ, pile spacing S, and pile length L—on the horizontal ultimate bearing capacity of a four-pile foundation, with a focus on revealing the dominant role of pile group interaction. Parametric analysis reveals that the horizontal bearing capacity factor increases with the strain softening parameters δrem and ξ95 and the strain rate parameter μ, with notable differences in the degree of influence among these parameters. As the pile spacing and pile length increase, the pile group interaction weakens, resulting in a diminishing increase in the bearing capacity and a transition in failure mechanism. Finally, an artificial neural network-based prediction model for the horizontal bearing capacity of the four-pile foundation is established, incorporating the effects of multiple parameters.
  • Yang Xu, Wang Jie, Lian Jijian, Yao Ye, Liu Mengmeng
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    This study employs finite element simulations to analyze the seepage field distribution during the overall sinking and leveling conditions of three complex configurations: hexagonal bucket, clustered bucket, and annular interlocking bucket. The seepage characteristics are investigated, and formulas for calculating critical differential pressures during sinking and leveling conditions are established. And size effect validations of the formulas are conducted. The results indicate that the differential pressure for leveling decreases rapidly with increasing tilt angles for all three bucket types. The proposed methods for calculating critical differential pressures due to seepage in these complex bucket foundations exhibit an error range of approximately ±5% within engineering scales.
  • Cong Longfu, Dai Liping, Chang Ning, Zou Ang, Zhou Yixiao, Wang Zikun
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    This paper establishes an accurate process for yaw angle calculation based on the Ishihara Gaussian wake model, the energy-conserving wake superposition model, and several optimization algorithms, including the African Vulture Optimization Algorithm (AVOA). The efficiency of these algorithms is evaluated, and the influence of the turbulence superposition coefficient on the results is analyzed by comparing with LES data from the literature. Furthermore, a rapid yaw angle optimization process is developed using the TSFC optimization algorithm proposed in this study. Both optimization algorithms are applied to yaw angle optimization for turbines in tandem and in optimized layout configurations. The results indicate that a turbulence superposition coefficient of 2.8 leads to more accurate predictions of downstream turbulence intensity. For wind farms with varying layouts, active yaw control can improve power generation by 0.4% to 2.2%. Additionally, the TSFC algorithm significantly outperforms the African Vulture Optimization Algorithm in terms of efficiency, reducing computational time by an order of magnitude.
  • Li Chuandong, Zhang Minghui, Zhang Yi, Yi Ziyuan, Niu Huaqing
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    In order to improve the accuracy of ultra-short-term output prediction of wind farms under wind speed fluctuations, this paper proposes a new method for ultra-short-term output prediction considering the spatial and temporal correlation of wind fluctuations between adjacent wind farms. Firstly, based on the relative position of wind speed, wind direction and the relative position of wind farms, the time difference between output fluctuations is calculated, and the prediction time period with prior information is determined based on this basis. Secondly, the variational Bayesian model is used to extract the implicit relationship between the output fluctuation of the adjacent wind farm and the influence of the measured output, and the prediction of the output of the prior information period is realized. Finally, the output prediction of the complete ultra-short-term prediction cycle is obtained by completing the period prediction without prior information. The measured data of three wind farms in Fujian Province are used for verification. The results show that the proposed method can effectively utilize the output fluctuation characteristics of adjacent wind farms and improve the accuracy of ultra-short-term output prediction of target wind farms.
  • Zhang Xiaofei, Zhao Yebin, Cai Jinxin, Wang Tingyuan, Zhang Puyang
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    This paper investigates the coupling between the suction bucket jacket foundation and the floating crane ship during the lowering process. The four-bucket jacket foundation of an offshore wind turbine is taken as the research subject. A coupled lowering model of the floating crane ship and the foundation is established using Sesam. The motion response of the coupled system and the tension response of the slings are analyzed for different sling layout configurations. The results show that the amplitudes of sway, roll, and yaw are higher for Type 3 and Type 4 configurations. This indicates that their stability is poorer compared to the other types. As the foundation sinks, the buoyancy force increases. This leads to a wider range of tension fluctuations in the slings before submergence. After full submergence, the tension fluctuation range decreases significantly. Type 3 and Type 4 configurations exhibit larger tension fluctuations due to lower sling stiffness and higher initial tension.
  • Qi Fangzhong, Cai Ruanhao, Cao Jian
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    This study proposes a hybrid fault early-warning model and architecture for wind turbines, integrating the advantages of traditional convolutional neural networks (CNN) and long short-term memory networks (LSTM), coupled with a cyclic DBSMOTE algorithm and a multi-head attention mechanism. First, a cyclic DBSMOTE algorithm is developed to balance highly imbalanced wind turbine operational datasets, mitigating the bias caused by extreme class distribution. In the hybrid early-warning model, CNN and LSTM are employed to extract spatial and temporal features from the balanced data, respectively, enhancing the depth of data mining. Additionally, a multi-head attention mechanism is introduced to prioritize critical temporal-spatial correlations, significantly improving the model’s training accuracy and early-warning performance. Through hyperparameter optimization, the model achieves fault early-warning capabilities with a lead time of up to 32 hours in experimental validation. Further validation via ablation studies, comparative experiments, and ten-fold cross-validation demonstrates that the proposed hybrid model exhibits superior effectiveness and stability in wind turbine fault early warning.
  • Liu Fei, Wang Ting, Bai Yujia, Tian Yibo, Zhang Jing, Meng Huaju
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    Response surface methodology was used to analyze the effects of molding temperature, pressure, proportion of binder and mixing ratio of raw materials on the density of seedling bowl, breakage by dropping, and breakage by pressure. Then the process parameters were optimized by applying the satisfaction function method and multi-population genetic algorithm. In addition, the effect of seedling bowls on the physicochemical properties of soil was also analyzed. The results showed that the density, drop breakage rate and compressive breakage rate of seedling bowls reached 0.908 g/cm3, 2.98% and 2.68%, with the temperature of 60-110 ℃, pressure of 8-18 MPa, binder to raw material mass ratio of 0.6∶1-1.3∶1, and the corn stover charcoal content of 10%-60%. The optimal combinations of process parameters were temperature 67 ℃, pressure 13.64 MPa, binder to raw material mass ratio 0.78∶1, and corn stover charcoal to Sophora japonica raw material mass ratio 3∶7, under which the density, drop breakage rate and compressive breakage rate of seedling bowls were 1.032 g/cm3, 2.65% and 2.34%, which were only 0.02%, 0.01%, and 0.03% from the predicted values. After the seedling bowls were buried in the soil for 8 weeks, the soil pH value decreased from 8.92 to 8.02, and the soil quick-acting nitrogen, quick-acting phosphorus, and quick-acting potassium increased by 57.1, 27.0, and 38.0 mg/kg respectively, which indicated that the corn stover charcoal-mixed Sophora japonica biomass seedling bowl could effectively reduce the soil pH value and improve the soil fertility.
  • Xing Wanli, Lin Chuang, Cao Jingxuan, Yang Tianhua, Zhang Wanli, Kai Xingping
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    In this paper, H2/CO2/N2 was employed as the feed gas mixture and ZSM-5 zeolite served as a support. Through the impregnation method, two varieties of catalysts, Ni/ZSM-5 and Ni-Mg/ZSM-5, were synthesized. By means of characterization techniques including BET, H2-TPR, H2-TPD, TEM, XRD, TG, in conjunction with the CO2 methanation experiments, the impacts of temperature (300-700 ℃), Ni loading (5%, 10%, 15%), and Mg promoter on the catalytic performance were investigated. The outcomes manifest that subsequent to the addition of the additive Mg into the Ni/ZSM-5 catalyst, the quantity of its surface active sites augmented remarkably, the particle size of Ni diminished conspicuously, the dispersibility was substantially ameliorated, the anti-coking property was fortified, the amount of carbon deposition was curtailed by around 0.354%, and the maximum CH4 yield was elevated by 6.7%. When the temperature was set at 650 ℃, the 15%Ni-Mg/ZSM-5 catalyst demonstrated the most outstanding methanation performance. Under such circumstances, its CO2 conversion, CH4 selectivity and CH4 yield were 79.2%, 75.5%, and 59.8%, respectively. Additionally, based on in situ infrared spectroscopy characterization and density functional theory calculations, formate was identified as an intermediate in the CO2 methanation pathway. The complete reaction pathway proceeds as follows:CO2+H2→CO2*+2H*→HCOO*→HCOOH*→H2COOH* →H2CO*→H2COH*→CH2*→CH3*→CH4*→CH4.