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    Special Topics of Academic Papers at the 27th Annual Meeting of the China Association for Science and Technology
  • ● Special Topics of Academic Papers at the 27th Annual Meeting of the China Association for Science and Technology
    Wang Xiongran, Zhang Jing
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    The prediction of lithium battery lifespan is of great significance for energy management and maintenance. To address challenges such as complex multidimensional time series data, long-term dependencies, and dynamic changes in characteristics during the prediction process, this paper proposes a lithium-ion battery life prediction model based on dynamic convolutional neural networks and Transformer(DCF), covariance matrix adaptive adjustment evolution strategy(CMA-ES), and multi-head self-attention mechanism. The DCF dynamically extracts key features from time series data, reduces data dimensionality and redundancy, and captures long-term dependencies. CMA-ES optimizes model hyperparameters to enhance the model's ability to model local features and global dependencies. The multi-head self-attention mechanism further focuses on important features and handles complex nonlinear dynamic relationships. Experimental validation is conducted using the publicly available lithium battery dataset provided by NASA. Results show that the proposed method achieves a minimum average absolute error of 0.28%, outperforming most existing methods using the same dataset. The experiments further demonstrate improvements in prediction accuracy and generalization ability, especially in long-term lifespan prediction, where the model exhibits higher precision and robustness, providing more reliable technical support for lithium battery lifespan prediction.
  • ● Special Topics of Academic Papers at the 27th Annual Meeting of the China Association for Science and Technology
    Bao Guang, Wu Yuting, Zhang Cancan, Lu Yuanwei, Na Heya
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    Using the high-temperature melting-mechanical stirring preparation method, 20 nm SiO2 nanoparticles were uniformly dispersed into a ternary mixed molten salt (KNO3-NaNO2-Na2CO3) to prepare molten salt nanofluids containing different mass fractions of SiO2 nanoparticles (0.1%, 0.5%, 1.0%, 1.5%, 2.0%), in order to investigate the effect of the SiO2 nanoparticle content on the specific heat capacity and thermal conductivity of the molten salt. A synchronous thermal analyzer and a laser thermal conductivity meter were employed to test and analyze the specific heat capacity and thermal conductivity of both the ternary mixed molten salt and the molten salt nanofluids. Scanning electron microscopy (SEM) was utilized to observe and analyze the microstructure of the samples. The experimental results demonstrate that when the mass fraction of SiO2 nanoparticles is 1.0%, the average specific heat capacity of the molten salt nanofluid reaches 2.09 J/(g·K), and the average thermal conductivity reaches 1.073 W/(m·K), representing increases of 29.6% and 97.9%, respectively, compared to the ternary mixed molten salt. This enhancement is attributed to the formation of a high-density network structure on the surface of the ternary mixed molten salt, which possesses a high specific surface area and surface energy, thereby improving the specific heat and thermal conductivity of the molten salt.
  • ● Special Topics of Academic Papers at the 27th Annual Meeting of the China Association for Science and Technology
    Yan Wentao, Wang Weiqing, Li Xiaozhu, Ding Ying
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    To give full play to advantages of multi-energy synergy, efficiency, and environmental sustainability in integrated energy systems (IES) while tapping into underutilized energy storage resources, this paper proposes an energy storage capacity allocation method that accounts for the equivalent electrical storage characteristics of thermal and gas networks. Firstly, the thermal storage capacities of thermal networks, buildings, and combined heat and power(CHP) units are quantitatively analyzed using the finite element difference method, thermal inertia analysis, and CHP operational characteristics. A conversion method is then introduced to translate thermal storage capacity into equivalent electrical storage capacity. Secondly, the dynamic behavior of natural gas pipelines is modeled using energy and momentum conservation equations, and pipeline gas storage is quantified via finite element simulations. A conversion method is similarly proposed for translating gas network storage capacity into equivalent electrical storage capacity. Based on these considerations, an optimized allocation model for electrical energy storage in IES is developed to minimize energy storage investment size and initial costs. Finally, case studies validate the feasibility and competitiveness of the proposed approach, demonstrating that incorporating the equivalent electrical storage characteristics of thermal and gas networks reduces storage investment costs by 4.18%.
  • ● Special Topics of Academic Papers at the 27th Annual Meeting of the China Association for Science and Technology
    Wang Changgang, Zhang Xiangwei, Cao Yu, Liang Dong, Li Yang, Mo Jingshan
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    To advance the achievement of dual carbon goals and fully utilize the low-carbon potential of the microgrid load side, this paper proposes a bi-level low-carbon dispatch strategy for the power-carbon coupling of multi-microgrid systems and distribution networks, considering cooperative game theory. Firstly, to consider the impact of energy storage charging and discharging on carbon emissions, a carbon emission model for storage systems is established, integrating carbon flow analysis into the demand response model on the load side of the microgrids. A bi-level dispatch model, considering node carbon potential, is constructed, where the upper-level model addresses optimal economic dispatch for the distribution network, and the lower-level model incorporates the interests of microgrid operators and users within integrated energy systems. A joint operation model is designed under a carbon trading mechanism based on node carbon potential, facilitating cooperation between multiple microgrid operators and an aggregator representing the interests of all microgrid users. Secondly, leveraging Nash bargaining theory, energy interactions and cooperative operations between microgrid operators and the load aggregator are achieved. After demonstrating that the Nash bargaining model can minimize operational costs, the problem is decomposed into two sub-problems and solved using the alternating direction multiplier method(ADMM), achieving optimal low-carbon economic dispatch for the microgrid coalition. Finally, the model is applied to a modified IEEE 33-node system, and results demonstrate that the proposed approach effectively reallocates carbon emission responsibilities from the source side to the load side. It also accurately reflects the dynamics of competition and cooperation among stakeholders in the carbon trading market, enhancing both the low-carbon profile and economic efficiency of the system.
  • ● Special Topics of Academic Papers at the 27th Annual Meeting of the China Association for Science and Technology
    Ying Haotian, He Xu, Fan Yuxin, Xie Yurong, Zhu Peiwang, Xiao Gang
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    Aiming at the problem of difficult peak-shaving of traditional units under high proportion of photovoltaic installation in a regional power grid of an oil field, this paper proposes a scheduling strategy of thermal-PV-storage system for photovoltaic peak-shaving in regional power grids by combining the characteristics of photovoltaic power generation and the operating characteristics of units of different types in power plants. Firstly, the distribution of photovoltaic power generation is mastered based on the probabilistic forecasting of photovoltaic power day-ahead, and a mathematical model of the start-stop peak-shaving units is established based on actual data. Then, an upper-level optimization model is established to solve the optimal scheduling of the start-stop peak-shaving stage of the unit with the goal of minimizing the fluctuation of the equivalent net load of the system; the lower-level model is based on the dynamic characteristics of each unit of the thermal-PV-storage multi-energy complementary system, and the solution model is established with the goal of optimizing the operating economy within the system scheduling cycle. Finally, based on the stochastic optimization method, the system scheduling is optimized by calling the CPLEX solver through Matlab. The calculation results show that after using this scheduling strategy, the system's photovoltaic energy curtailment ratio and operating cost are decreased by 32.91% and 19.95% respectively, indicating that the proposed scheduling strategy can effectively improve the regional power grid's photovoltaic absorption capacity and reduce the system's operating cost.
  • ● Special Topics of Academic Papers at the 27th Annual Meeting of the China Association for Science and Technology
    Yin Jingyuan, Jiang Yiming, Wei Tongzhen
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    Aiming at the problems caused by the uncertainty of sources and loads in the port area, a day-day scheduling strategy for hybrid energy storage in the port area based on fuzzy opportunity constraint programming is proposed. Firstly, analyze the influence of quay crane-ship dispatching on port power dispatching, and establish a port load model coupled with transportation and power; Secondly, a day-day uncertainty model for new energy and loads is established based on the theory of fuzzy mathematics; Finally, in an uncertain environment, the day-day multi-time scale optimization is carried out with the goal of minimizing the carbon trading cost, the daily operating cost of the port area, and the penalty cost for wind and solar power curtailment, and the model is solved through CPLEX. The case study analysis shows that the proposed method can effectively improve the consumption level of new energy in the port area, reduce carbon emissions and enhance the economic operation of the port area under the condition of considering the uncertainties of sources and loads.
  • ● Special Topics of Academic Papers at the 27th Annual Meeting of the China Association for Science and Technology
    Kou Farong, Yang Tianxiang, Luo Xi, Wang Kan, Zhou Dongming
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    A joint estimation method of SOH and RUL based on feature reconstruction and multiple time scales is proposed in this paper. Firstly, six health features related to capacity degradation are extracted from the lithium battery aging data set, and the feature data is reconstructed by using variational mode decomposition algorithm. The feature reconstruction was achieved by filtering the participating modes through user-defined indicators; On this basis, the Bayesian algorithm is used to optimize the convolutional long-term and short-term memory network to construct the SOH estimation model. The accurate and efficient estimation of SOH and RUL is achieved by combining the algorithm iteration at the micro scale with the convolutional neural network model at the macro scale. The results show that the estimation error of SOH is stable within 1%, and the estimation accuracy is about 35% higher than that before feature reconstruction; The mean absolute error (MAE) and root mean square error(RMSE) of RUL prediction results are kept within 0.42 and 0.78, respectively, which realizes the high-precision estimation of SOH and RUL.
  • ● Special Topics of Academic Papers at the 27th Annual Meeting of the China Association for Science and Technology
    Huo Haibo, Zhu Hongxiang, Xu Sheng, Cao Zhengliang, Xu Jingxiang, Li Xi
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    A novel methane-fueled solid oxide fuel cell/micro gas turbine (SOFC/MGT) hybrid system is proposed to enhance thermoelectric efficiency by utilizing high-temperature waste heat from the SOFC. To meet inlet temperature requirements and maximize waste heat utilization, the system adds fuel bypass valves and heaters, on the basis of the conventional hybrid configurations. To address the challenges of fluctuating load demands and maintaining optimal turbine inlet temperatures, the dynamic temperature and power output characteristics of each component are firstly analyzed under variable operating conditions using a mathematical model of the hybrid system. Then, on this basis, the temperature and power cooperative control strategy of the gybrid power system is designed.Simulation results indicate that the proposed control strategy allows the system to adapt smoothly to changing load demands, sustaining target turbine inlet temperatures while aligning with external power requirements. Findings also reveal that actively controlling turbine inlet temperatures not only supports efficient power tracking and safe operation but also significantly improves the hybrid system's overall efficiency.
  • ● Special Topics of Academic Papers at the 27th Annual Meeting of the China Association for Science and Technology
    An Yuan, Li Yang, Zhao Tingyu, Feng Haotong
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    To maximize the consumption of renewable energy on the source side and better meet the demand on the load side, a bi-level optimal scheduling strategy is proposed for the multi-use pathways of power-to-ammonia and the capacity allocation of hybrid energy storage systems. In the upper level, the adaptive particle swarm optimization (APSO) algorithm is used to determine the optimal storage capacities with the objective of minimizing operational costs. In the lower level, to enhance system flexibility, gas turbine units with flexible heat-to-power ratios and ammonia fuel cells are introduced to address the limitation of adjustable power-to-heat output. Additionally, to reduce power generation costs, time-of-use electricity and gas prices, a demand response mechanism, and a tiered carbon trading scheme are incorporated. The objective is to minimize total system operating cost, and the model is solved using the CPLEX solver. Finally, comparative analysis of different scenarios demonstrates the proposed method's effectiveness in reducing carbon emissions, lowering operating costs, and improving wind and solar energy utilization.
  • ● Special Topics of Academic Papers at the 27th Annual Meeting of the China Association for Science and Technology
    Hu Yafeng, Zhao Xi, Yang Wenlong, Zhu Wenchao, Xie Changjun
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    To enhance the compatibility between hydrogen production systems and wind power, a rolling optimization strategy for a hybrid electrolyzers array, based on adaptive state switching, is proposed to address the power distribution challenges in hybrid hydrogen production systems comprising alkaline electrolyzers and proton exchange membrane electrolyzers. The performance of the hybrid system is compared to that of a single electrolyzers system under a basic start-stop strategy and a conventional rolling optimization approach. The results indicate that the efficiency of the hybrid system improved by 2.81 and 5.92 percentage point, respectively. Furthermore, three distinct strategies are applied to the hybrid hydrogen production system for comparative analysis. The findings reveal that the newly proposed hybrid electrolyzers array rolling optimization strategy, based on adaptive state switching, achieves a more balanced load distribution among electrolyzers, leading to a 4.57 percentage point increase in system efficiency compared to the simple start-stop strategy. Additionally, daily hydrogen production increases by 0.354 tons (16.40%). The average electrolyzer utilization rate is improved by 18.82 percentage point, while wind energy utilization rate is increased by 13.71 percentage point.
  • ● Special Topics of Academic Papers at the 27th Annual Meeting of the China Association for Science and Technology
    Jiang Xin, Zhang Bo, Qiao Xiaoli, Han Wulin, Wang Hongxia, Li Xiang
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    This paper analyzes the development status and technical applications of stationary high-pressure gaseous hydrogen storage pressure vessels at home and abroad from the aspects of design and manufacturing, inspection and testing, regulations and standards,and related patents, and summarizes the number of relevant patent applications for such vessels at home and abroad in the past 30 years from 1994 to 2024. The analysis indicates that China is progressively strengthening its support for stationary high-pressure gaseous hydrogen storage and fostering rapid technological advancement in this field. Finally, the paper conducts a comprehensive analysis of the key challenges confronting stationary high-pressure gaseous hydrogen storage pressure vessels and proposes recommendations for future development directions.
  • ● Special Topics of Academic Papers at the 27th Annual Meeting of the China Association for Science and Technology
    Li Jianlin, Sun Haoyuan, Zhang Minhui, Zhao Pu, Ma Jicheng
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    Aiming at the problems of high wind power grid-connection volatility, poor power quality and poor electricity-hydrogen hybrid energy storage capacity allocation, a study on the optimal allocation of electricity-hydrogen hybrid energy storage capacity under wind power smoothing is proposed. Under the typical scenario of wind power, firstly, a variational modal decomposition based on whale algorithm optimization is used to process the wind signal, and combined with the limit value of wind power grid fluctuation, the direct grid connection component and the energy storage to be suppressed component are obtained. Secondly, an energy management strategy based on the actual operating characteristics of alkaline electrolyzers and the actual operating state of electrochemical storage is formulated with full consideration of the characteristics and constraints of hydrogen and electrochemical storage. Based on this strategy, the hybrid electricity-hydrogen storage capacity allocation model is established with the goal of minimizing the annual comprehensive cost of the system while absorbing the energy storage to be levelled off component and solved by the CPLEX solver. The simulation results show that the proposed strategy not only improves the utilization rate of hydrogen storage but also keeps the electrochemical storage in the safe operating range; and that, the capacity allocation scheme under the strategy can achieve better suppression of wind power while meeting the system economics.
  • ● Special Topics of Academic Papers at the 27th Annual Meeting of the China Association for Science and Technology
    Jing Jie, Dong Yan, Tan Jianxin, Lei Zhaoming, Yang Fuquan
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    In order to reduce the impact of wind energy intermittency and volatility on the economy and stability of isdated island wind power hydrogen production system, a multi-time scale energy management strategy is proposed. In the day-ahead stage, the start-stop optimization model of the day-ahead electrolyzer is established, and the improved golden jackpot algorithm is used to solve the problem, so as to optimize the start-stop state of the electrolyzer and the operation plan of each unit of the system with the maximum expected daily income. In the intra-day stage, an intra-day rolling optimization model is established, and a power grading energy management strategy for alkaline electrolyzer is proposed. According to the day-ahead optimization results and ultra-short-term prediction information, the system operation plan is re-optimized with the maximum daily profit of the system. In the real-time stage, a real-time energy management strategy for isdated island wind power hydrogen production system considering the slow dynamic response of the system is designed. When unplanned wind power fluctuations occur, the system operation mode is adjusted in real time according to the real-time operation state of the system. The simulation results show that the proposed multi-time scale energy management strategy can effectively maintain the power balance of the system under fluctuating wind speed, reduce the power fluctuation of the electrolyzer and improve the economy of the system.
  • ● Special Topics of Academic Papers at the 27th Annual Meeting of the China Association for Science and Technology
    Li Peng, Xu Ruidong, Zhang Jiateng, Gao Zhigang, Zhou Jun
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    In view of the complex problems currently faced by the satellite single-axis solar array drive system, the technological progress at home and abroad is comprehensively reviewed from multiple perspectives such as system modeling, control methods and ground verification. Firstly, the structure, operation principle and working mode of SADA are analyzed. Then, according to the load characteristics of SADA, the dynamic modeling methods of rigid and flexible solar wings are summarized, and the single control and composite control strategies are discussed for the difficulties of speed and angle control caused by nonlinearity, and various algorithms are compared and analyzed. Also, the microgravity simulation and load characteristic simulation methods adopted to improve the accuracy of SADA ground test verification are introduced. Finally, the research trend of future spacecraft SADA is summarized and prospected.
  • Li Jianlin, Ding Ziyang, You Honghao, Liu Haitao
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    A grid-forming energy storage system based on modular multilevel converter (MMC) is taken as the main research object, and a low-voltage ride-through optimization control method considering current limiting is proposed for the traditional grid-forming energy storage system that is prone to overcurrent during voltage dips. In the low-voltage condition, the reactive power setting value is switched to the real-time calculated value to suppress the overcurrent phenomenon. On this basis, a variable excitation inertia coefficient control scheme is proposed to improve the fast response capability of reactive power by adjusting the excitation inertia coefficient in real time under the voltage dip fault condition. Finally, the simulation results show that this optimal control strategy can effectively improve the transient performance of the networked energy storage system based on MMC in the face of voltage sag.
  • Yan Jiale, Bai Jianbo, Cui Yebin, Hu Jiayu, Zheng Shuang
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    To reduce operational costs, accurate prediction of battery electric vehicle arrival time for battery swapping and strategic charging scheduling based on time-of-use electricity pricing are essential. This paper proposes a CatBoost model optimized by a genetic algorithm (GA), which can accurately predicts vehicle arrivals for battery swapping. Based on the prediction results, the model enables optimal planning of charging ports during peak periods. Furthermore, an integrated photovoltaic and energy storage system is introduced to reduce the average electricity purchase cost. The results demonstrate that through SHAP summary plots and SHAP dependence plots, state-of-charge (SOC), time, and distance are identified as the most influential features affecting model performance. The GA-CatBoost model outperforms three other prediction models in terms of accuracy, precision, recall, and F1 score. Based on the prediction outcomes, a multi-objective charging scheduling strategy is implemented for peak periods, significantly reducing the average electricity purchase cost while ensuring sufficient battery swapping services. Finally, with the introduction of a photovoltaic-storage system and simulation of the time-of-use pricing operation mode for an integrated system, the visual analysis of power flow and electricity cost validates the effectiveness of the system in optimizing electricity pricing, further reducing the station's electricity procurement costs.
  • Li Qihui, Yin Shuai, Wu Zide, Xu Xudong, Yan Kejin, Peng Hao
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    The paper proposes a rapid microfluidic fabrication method for encapsulated phase change materials (EPCMs). C15/TMPTA EPCMs are prepared using an immersed co-flowing capillary microfluidic device with UV-curing, supplemented by thermally conductive modification of the shell material with silicon carbide. Characterization techniques including high-speed cameras, SEM, OM, FT-IR, XRD, DSC, TGA and LFA are utilized to investigate the generation of compound droplets and the properties of EPCMs. The results show that within the selected range of flow rate parameters, the generation process of compound droplets exhibits three phenomena: dripping, core leakage and jetting. Under dripping and jetting phenomena, stable compound droplets are formed. However, when the flow rate ratio (Qi/Qo) is larger than 1.5 and the total flow rate (Qtotal) is less than 160 µL/min, the core droplet will leak, resulting in the inability to generate the composite droplet normally. The sizes of core and compound droplets decrease with an increase in the outer phase capillary number (Cao), while the frequency of compound droplet generation increases with Cao. Moreover, EPCMs prepared at Qi/Qo of 0.5, 1 and 1.5, with a Qtotal of 150 µL/min, exhibit a multi-core structure, high monodispersity (with a coefficient of variation (Cv) <4%) and controllable size, ranging from 1.32 to 1.55 mm in diameter. The addition of 2wt% nano silicon carbide for modification enhances the encapsulation efficiency of EPCMs (increased by 16.17%) and thermal cycling stability, with only a 1.19% decrease in enthalpy value after 25 thermal cycles.
  • Chen Yunfan, Ai Xin, Wang Zhe, Hu Huanyu, Zhou Shuai, Wang Haoyang
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    Promoting the development of hydrogen energy storage systems is an important measure to enhance the flexibility of the power grid and implement the “dual carbon” goals. The existing capacity allocation models ignore the dynamic characteristics of electrohydrogen conversion,making it difficult to ensure the economic and applicability of the planning scheme. In response to the issues above, this article considers the variability of the mutual conversion efficiency of electric and hydrogen energy,as well as the impact of optimization electrolytic cell efficiency operation strategies on the capacity configuration of hydrogen energy storage systems. A model for the energy conversion efficiency of electrolytic cells in the electric hydrogen conversion process and a model for the energy conversion efficiency of fuel cells in the hydrogen electric conversion process are established,and the nonlinear problems of the model are solved using the methods such as piecewise linearization approximation. A hydrogen storage capacity configuration optimization model that combines energy conversion efficiency models with optimized operation strategies is proposed. The example compares the hydrogen storage capacity configuration results of three typical daytime traditional schemes and the proposed scheme in this article. The analysis shows that the proposed model can improve the economy and flexibility of the planning scheme.
  • Jing Kai, Li Fangzheng, Wu Yimeng, Sun Hexu
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    In order to evaluate the performance of the electrolyzer in renewable energy hydrogen production systems, especially the performance analysis of the electrochemical impedance spectrum(EIS) of the electrolytic cell, an online evaluation method for the electrochemical impedance spectrum of PEM electrolyzer powered by a full bridge LLC resonant converter is proposed. This method applies a small AC voltage disturbance signal on a stable DC electrolytic voltage to measure the current response and obtain the impedance value. A strategy of inverter rectification collaborative control is proposed for LLC resonant converters. The front stage full bridge variable frequency control obtains stable DC electrolytic voltage, and the post stage outputs a small disturbance signal through PWM rectification control. Finally, the impedance values under different frequency disturbance signals are obtained by analyzing the amplitude and phase of voltage and current signals using fast Fourier transform. The simulation and experiment results show that the impedance spectrum obtained by the proposed method is basically matched with the theoretical values.
  • Lyu Bao, Han Kai, Wang Yongzhen
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    The gas diffusion layer (GDL) of proton exchange membrane (PEM) fuel cell was taken as the research object, and a spherical catalyst cluster model considering the complex structure of the catalyst layer was established based on Comsol. The relationship between GDL deformation and performance was investigated by numerical simulation and experimental verification. The results show that when the packaging load is less than 0.6 MPa, the positive effect of contact resistance reduction on the battery is dominant, and the maximum error between the contact resistance calculated value and the experimental value is 1.7%, which meets the accuracy requirements. When the encapsulation force is large, the negative effect caused by the decrease of GDL porosity is dominant, and the encapsulation load has a great influence on the distribution of liquid water saturation. When the GDL shape variable is 27.2%, the battery output power is maximum.
  • Zhang Heng, Shao Xuanyu, Wang Hu
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    This study first numerically reconstructs the microporous layer (MPL) in proton exchange membrane fuel cells (PEMFCs) to obtain its real microstructure. Then, the finite element method is employed to simulate the stress-strain behavior, as well as the distribution of porosity and pore size in the MPL, under different mechanical compression ratios. Finally, a pore-scale model is used to analyze the effect of mechanical compression on transport properties. The results show that as the mechanical compression ratio increases from 0 to 30%, the porosity and pore size of the MPL decrease by 20% and 45%, respectively. Meanwhile, the effective tortuosity, thermal conductivity, and electrical conductivity increase to 1.5, 1.6, and 1.7 times of their uncompressed values, respectively. When the compression ratio increases from 18% to 30%, its impact on effective transport properties is significantly greater than that observed in the 0-18% range. The optimal mechanical compression ratio for the MPL is approximately 18%.
  • Wang Hejia, Xie Lirong, Bian Yifan, Zhang Qi, Wang Wei, Zhang Fengyu
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    In view of the environmental problems of high fossil fuel consumption and high carbon emissions of traditional coal-carrying heavy trucks, combined with the unique geographical location and abundant wind and solar resources of Xinjiang, a ‘production-storage-processing-use' wind-solar and hydrogen energy heavy-duty trucks collaborative carbon reduction operation mode considering demand response is proposed. According to the operation characteristics of fuel-powered heavy trucks and hydrogen heavy trucks, the energy consumption flexibility model was modeled, the carbon trading model of hydrogen energy heavy trucks was constructed, and the evaluation index of hydrogen supply stability was proposed. The Karush-Kuhn-Tucher (KKT) condition and the Big-M method are used to convert the two-layer model into a single-layer linear model to solve the problem, and through the analysis of examples, it is shown that the proposed model can effectively reduce carbon emissions and economic costs while maximizing the consumption of new energy, and realize the substitution of hydrogen energy for fossil energy.
  • Shen Dali, Dong Yan, Yang Fuquan, Lei Zhaoming, Cao Xin
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    To quickly detect and accurately identify the electrolytic cells fault, a fault diagnosis method based on an interleaved voltage detection circuit combining a weighted modified variance algorithm and improved correlation coefficient algorithm is proposed to identify and diagnose the various faults of the electrolytic cells with voltage characteristics. Firstly, the method of interleaved voltage detection is used, and the weighted modified variance algorithm is used to extract the fault features, to identify whether there is a fault, and distinguish the small cell fault and voltage sensor fault. Secondly, considering the voltage fluctuation in hydrogen production from renewable energy, it is proposed to utilize the correlation of inter-cell voltages and adopt an improved correlation coefficient algorithm to diagnose faults such as short circuits and water shortage in electrolytic cells. The feasibility of the fault diagnosis method is verified by example analysis and result comparisons.
  • Lin Wenjie, Wang Haozheng, Yu Xuegong, Wang Yongqian, Qiu Kaifu
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    This work investigates the effects of the surface morphology and boron diffusion process of boron heavily doped emitter on the passivation properties, contact property and parasitic absorption in the illuminated passivation region and metal contact region, and solar cell performance. Compared with the polished samples, the textured samples show a lower contact resistance of 2.5-3.2 mΩ·cm2, allowing a higher efficiency for p-TOPCon solar cells with localized p++ contact. By using the boron driving-in-time of 3000 s and the new AgAl contact with a lower contact resistance of 0.5 mΩ·cm2, the contact characteristics of the metal contact area, the photoelectric characteristics of the passivated area, and the production cost of the boron diffusion are optimized. The optimized p-TOPCon solar cells achieve an efficiency of 24.62%.
  • Di Chong, Li Wenhao, Chen Jingwei, Ding Yang, Wei Deyuan, Xu Ying
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    The material properties of an ultrathin barium fluoride (BaFx) thin film prepared by electron beam evaporation method are investigated and applied as a novel, undoped selective contact transport material for crystalline silicon heterojunction batteries that transport electrons while blocking holes. Ultraviolet photoelectron spectroscopy (UPS) tests show that the BaFx/Al interface has a work function of 2.55 eV, which is lower than that of aluminum itself (4.26 eV), enabling a selective transport function for electrons. The addition of BaFx leads to the formation of an ohmic contact between the aluminum electrodes and the crystalline silicon, and achieving a low contact resistivity of 23.98 mΩ·cm2. The use of this heterostructure as a doping-free whole backside ohmic contact for lightly doped n-type monocrystalline silicon solar cells leads to an increase in both the cell's fill factor and short-circuit current density, and ultimately achieves an increase in the cell's absolute energy conversion efficiency of 2.53%.
  • Guo Jiangtao, Yang Wen, Lin Jing, Yuan Yue, Yang Peizhi
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    This article reviewed the development progress of hybrid energy harvesting solar cells in recent years. A systematic summary of hybrid energy harvesting solar cells was conducted from the working principle of solid-liquid triboelectric nanogenerator, the structure optimization of hybrid energy harvesting solar cells, and the synergistic harvesting strategies of raindrop and solar energy. The effect of friction layer modification on the performance of hybrid energy harvesting solar cells was emphatically analyzed, and the multi-effect harvesting strategies of hybrid energy harvesting solar cells were discussed. Finally, the existing problems in hybrid energy harvesting solar cells were identified, and their future development trends were discussed.
  • Guo Wenkai, Wang Guo, Min Yongzhi, Su Pengfei, Liu Xinyue
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    Aiming the problems of noise interference,difficulty in extracting the information contained in PV power data and the error of prediction models, a short-term PV power prediction method based on optimization data processing and prediction error correction was proposed. Firstly, the correlation coefficients of meteorological features affecting PV power were calculated using the combination assignment method. Secondly, the parameters of the variational mode decomposition (VMD) were optimized using the FOX optimization algorithm, and the optimal parameters of the wavelet thresholding method (WT) were determined through experiments, completed data decomposition and denoising. Subsequently,a bidirectional long short-term memory (BiLSTM) model was constructed for each intrinsic mode function (IMF) component, and the initial prediction results were obtained by superposition reconstruction. Finally, an error prediction model based on the BiLSTM neural network was established, to obtain the final PV short-term power prediction results by using error compensation method. Example analyses demonstrated that the root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE) values of the test set of the proposed method in this paper are 5.21 kW, 3.01 kW and 0.01%, respectively, which are 81.01%, 82.80%, and 88.89% lower than the original BiLSTM model, which means the method proposed in this paper can effectively extract the information, reduce the noise interference within the data, and mitigate the intrinsic error of the BiLSTM prediction model.
  • Wu Yanjuan, Rong Wang, Guo Yue, Ye Jisong
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    To improve the accuracy of short-term photovoltaic power forecasting under various weather conditions,this paper introduces a model that combines Successive Variational Mode Decomposition (SVMD) and an Improved Dung Beetle Optimization algorithm (IDBO) to optimize a Kernel Extreme Learning Machine (KELM). Firstly,the dataset is categorized into similar daily samples for different weather types using a Gaussian Mixture Model. Then,SVMD is applied to decompose the dataset into stable subsequences,thereby enhancing data quality. Next,IDBO is employed to optimize KELM,resulting in an IDBO-KELM prediction model specifically tailored for forecasting these subsequences. Finally,the predicted values from the subsequences are recombined to produce the final forecast. Experimental results demonstrate that this method performs well under three different weather conditions and exhibits superior accuracy when compared to other models.
  • Wang Yufei, Wang Xianzhe, Xue Hua, Yu Guangzheng, Yang Xiu
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    Aiming at the problem of low accuracy in ultra-short-term photovoltaic power forecasting, caused by weak fitting ability of short reflex pathway of traditional brain emotional neural network (ENN), a modified model based on ENN using bayesian optimization-support vector machine (BO-SVM) and improved snake optimization (ISO) is proposed. Firstly, in order to improve the nonlinear fitting ability of short reflen pathway, the hyperplane selection method of three-dimension phase points of historical data based on BO-SVM is adopted, and the nonlinear features of historical data are extracted by considering the distance between three-dimension phase points and hyperplane. Secondly, the snake optimization algorithm is improved and applied to the weight optimization of ENN, to ensure the short reflen pathway can reasonably express the nonlinear characteristics of the historical data. Then, the chaos phase space reconstruction of photovoltaic power time series is carried out, and the ultra-short-term forecasting model of photovoltaic power based on improved ENN using BO-SVM and ISO is established. Finally, the proposed ultra-short term forecasting model of photovoltaic power is verified using the measured data, which can realize the improvement of accuracy under different weather conditions.
  • Cao Lan, Zhou Chenggong, Yuan Binxia, Shen Yin'gang
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    A fault diagnosis method for PV arrays, based on the gradient-boosted regression tree-self-training Bayesian optimized support vector machine, is proposed aiming at the difficulty of measuring open-circuit voltage directly by conventional monitoring systems. The experimental results show that in the case where the open-circuit voltage cannot be directly measured, the accuracy rate of the gradient-boosted regression tree-self-trained Bayesian optimized support vector machine algorithm in predicting open-circuit voltage and using it as a characteristic parameter for fault diagnosis is 94.96%, and a running time of 4.876 s, which has better accuracy and a shorter diagnosis time.
  • Huang Jing, Yuan Chengxu, Guo Su
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    A daily typical characteristics multi-step prediction method based on a coupled autoregressive and dynamical system model is proposed. The correlation between PV output data and weather information is analyzed and examined, and the matrix of daily typical characteristics is established. Then, through the matrix information of daily typical characteristics, the forecasting value of coupled autoregressive and dynamical system model is fixed as exponential smoothing to cuhieve short-term (16 steps in 4 hours, 96 steps in 24 hours), medium-term (168 hours 168 steps) multi-step prediction. Comparing with the popular LSTM model, the results show that the model has a high prediction accuracy and the error is reduced by 26.1-57.8 percentage points. Of this, the full year NRMSE value predicted 7 days in advance is 21.8%.
  • Wang Chengxuan, Gong Ruibang, Fan Yanfang, Zong Sijia, Cheng Junwen, Zhang Leiliang
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    In order to ensure the charging convenience and environmental protection of electric vehicles, this paper proposes to integrate wireless charging technology and photovoltaic power generation technology into the electric vehicle charging system, and proposes corresponding control strategies for the photovoltaic system, wireless power transmission system and on-board battery respectively. Matlab/Simulink simulation verifies the effectiveness of the proposed wireless charging new energy vehicle with photovoltaic as the power source.
  • Zhang Shuo, Wang Gengji, Yin Jinliang, Du Mingxing
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    To address the issue of bond wires aging in IGBT, a monitoring method based on the crosstalk vdtage peak is proposed. The half bridge circuit composed of IGBT modules is taken as the research object by this method. Based on the switching mode of IGBT modules, the mechanism of bond wire detachment and the process of crosstalk voltage generation are analyzed in detail, and the crosstalk voltage is segmented and modeled. The impact of wire detachment on the formation of crosstalk voltage at various stages has been derived, and real-time monitoring of the health status of IGBT module bond wires is achieved by measuring the peak value of crosstalk voltage. The simulation and experimental results have verified the feasibility and accuracy of this method.
  • Sun Hairong, Tang Zhenchao, Zhang Hongwei, Zhou Lihui
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    Aiming at the low accuracy and high computational complexity of convolutional neural networks in recognizing and classifying photovoltaic infrared hot spot images, as well as the difficulty in identifying the hot spot features on photovoltaic infrared images, an algorithm based on persistent homology is proposed to extract topological features from grayscale photovoltaic hot spot images. Firstly, the photovoltaic infrared hot spot image is converted to grayscale. Then, persistent homology calculation is performed on the grayscale image to obtain a barcode, from which the topological features are extracted to compose a new image. Finally, a convolutional neural network is employed to recognize and classify the new image. The experimental results demonstrate that the grayscale photovoltaic infrared image is a single-channel image, resulting in lower computational complexity. The extracted topological features of the photovoltaic infrared hot spot image are easier to identify and classify, leading to higher accuracy.
  • Wang Hongyang, Li Jinping, Vojislav Novakovic, Ehsan Gholamian Karkon, Zhu Junjie
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    Combining theoretical analysis, a comparative experimental study on the performance of R141b micro heat pipe photovoltaic/photo-thermal (MHP-PV/T) system and acetone MHP-PV/T system was conducted under different installation inclinations, circulating water pump flow rates and other operating conditions in the summer of 2023. The photoelectricity, photothermal, and overall performance of R141b and acetone MHP-PV/T systems were analyzed. The results indicate that at a 40° inclination angle and an average ambient temperature of 30.2 °C, R141b micro heat pipes exhibit better heat transfer characteristics, resulting in superior thermoelectric co-generation performance of the R141b MHP-PV/T system. At this point, the average thermal power, average electrical power, average thermal efficiency, and average electrical efficiency of the R141b micro heat pipe PV/T are 321.9 W, 118.9 W, 35.2% and 12.9%, respectively, which is 51.9 W, 54.7 W, 6.5% and 5.6% higher than that of acetone MHP-PV/T respectively. In this study, the performance differences between R141b MHP-PV/T and acetone MHP-PV/T systems were compared, and it is found that R141b micro heat pipe has better heat transfer performance compared to acetone micro heat pipe, and the R141b MHP-PV/T system has better cogeneration performance. Compared with acetone, R141b is more suitable to act as the working fluids of the MHP-PV/T system.
  • Zhang Yongzhao, Wang Dengjia, Yuan Xipeng, Li Cunming, Fu Zhiguo, Liu Yanfeng
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    In view of the abundant solar energy resources on the Tibetan Plateau, the complex topography and landform, through the weight calculation of the site selection criterion based on the analytic hierarchy process and the superposition of the geospatial model based on GIS, the suitability map of the solar collector field in Tibet Autonomous Region was obtained, and the location of the solar collector field was screened out by Python method, and the evaluation index was established on this basis to evaluate the potential of solar collector field location. The results show that the most suitable area for solar thermal collection accounts for 19.61% of the total area of Tibet, and among the seven main urban areas, Sangzhu Pastoral Area has the largest number of thermal collection field laying locations, and the proportion of areas with high heat collection suitability in the jurisdiction of Gaer County is the largest, and Bayi District has the greatest potential for site selection.
  • Liu Jiajia, Tian Mingxing, Mao Xusheng
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    Aiming at the problem of energy management strategy for multi-microgrids (MMG) systems under the same distribution network, a two-stage energy management strategy based on master-slave game is proposed for distribution networks and MMGs: In the first stage, taking into account the uncertainty of the renewable energy power generation, a Wasserstein distribution robust model is constructed, virtual energy storage is introduced, and the peer-to-peer (P2P) power interaction between microgrids is taken into account, and a Kriging game is used to establish a master-slave management strategy. Peer-to-peer (P2P) power interactions are considered, and a master-slave game management strategy for the distribution grid and MMG system is established, which is solved by the Kriging meta-model and the improved SCSO algorithm to achieve collaborative energy management between the distribution grid and MMG; In the second stage, in order to minimize the operation cost of the microgrid, a shared energy price clearing and settlement model based on the allocation of the maximum ope ating cost reduction ration(MOCRR) is adopted and it is distributed and solved through the ADMM algorithm, effectively protecting the inforination security and privacy of the main body of multiple microgrids. Finally, an example is used to verify the feasibility and effectiveness of the proposed method.
  • Wang Ligang, Li Qun, Jin Yuan, Zhang Haibo
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    Aiming at the problem of output fluctuation of PV power station and the changeable situation of inflow interval of cascade hydropower stations, in order to cope with the uncertainty of photovoltaic power, this study considers the coordination relationship between PV units and hydropower units under the uncertainty of incoming water, and proposes an optimal scheduling model of cascade hydropower stations considering uncertainty of incoming water. Firstly, by analyzing the historical measured interval incoming water of cascade hydropower stations and the solar irradiance of PV power stations, based on the improved K-means clustering method, the typical scenarios of incoming water and PV uncertainty are established. Then, considering the power generation income and the penalty cost of power abandonment, the optimal scheduling model of cascade hydropower stations considering uncertainty of incoming water is proposed with the goal of maximizing the total operating income of cascade hydropower stations. Finally, the simulation results show that the optimal scheduling model of cascade hydropower stations proposed in this study can fully coordinate the schedulable resources, reduce the rate of water and light abandonment, and improve the overall operation economy of cascade hydropower stations.
  • Dai Zhihui, Liu Junyi, Liu Meiyuan, Ning Zhiheng
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    The distribution network structure, operation characteristics and fault characteristics have been changed by the access of distributed generation. Because the traditional current protection scheme of distribution network does not take into account the synergistic response and output fluctuation characteristics of distributed generator, this leads to a decrease in the sensitivity of the protection and may cause the protection to lose selectivity. To address this problem, an improved current protection scheme for distribution networks with inverter-interfaced distributed generators (IIDGs) is proposed, based on the IIDG output fluctuation. The scheme can iteratively calculate the short circuit current under normal operation, adjust the setting values of phases Ⅱ and Ⅲ of upstream line current protection and phase I of the downstream line current protection in real time, and solve the IIDG output range applicable to the setting, to ensure that the downstream line operates correctly when the new energy output fluctuates. Finally, it has been confirmed that the proposed scheme significantly enhances the sensitivity of phases Ⅱ and Ⅲ of upstream protection of the IIDG access points by Matlab programming and PSCAD/EMTDC simulations. Additionally, it ensures the selectivity of phase I of downstream protection, thereby improving the effectiveness of stepped current protection.
  • Xue Yu, Gao Bolin, He Bin, Zhong Wei, Liang Ziyong, Cao Jiale
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    Conventional control strategies are difficult to adapt to the actual demand changes when encountering high power charging demand and grid voltage fluctuations. To this end, the interleaved parallel virtual DC machine control strategy is used to improve the stable operation capability of new energy charging station in this paper. The interleaved parallel DC/DC converter is used in the charging station system, which can effectively reduce the electric vehicle charging station output current ripple and improve the power quality and stability of the charging station; Meanwhile, the DC/DC converter using VDCM control strategy can provide stable and reliable inertia and damping support for the output of the new energy charging station, which realizes the precise control of the output voltage and current of the new energy charging station. Finally, the small signal model is used to analyses the effect of rotational inertia and damping coefficients on the stability of the charging system. And the physical simulation model of the new energy charging system is constructed based on the Matlab/Simulink software, which was used to simulate and validate the two models of electric cars and electric heavy trucks to connect/disconnect the charging station.
  • Luo Xi, Li Tingting
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    In view of the problem that the existing researchs on the optimal scheduling of flexible load in residential buildings does not fully consider the correlation characteristics of different devices due to functional complementarity and user habituality in the use time law, resulting in a large deviation between the calculated value and the actual value of optimization scheduling, a model considering load correlation is proposed for the optimal scheduling of flexible loads in residential buildings. The model, aimed at economic efficiency, was then solved using the CPLEX solver under three different scenarios: that consideriing only temporal overlapping load correlation (scenario 1); that considering temporal order load correlation (scenario 2); and that considering both types of load correlation simultaneously (scenario 3). The results show that: in the load set of common residential buildings with correlation characteristics, the various loads in the cooking load set have temporal overlapping and temporal order load correlations, while the various loads in the domestic hot water load set and the laundry load set only contain the temporal order load correlation. In addition,compared with the results of flexible load optimization scheduling without considering load correlation, the increase proportions of users' electricity costs in scenarios 1, 2 and 3 are 0.00%, 7.57% and 7.57%, respectively, which shows that the timporal order load correlation characteristics cannot be ignored because they have a great influence on the optimal scheduling results of flexible load.
  • Yan Xiangwu, Yang Ruojia, Shen Zhongyu, Jia Jiaoxin
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    The article proposes an improved MPPT low voltage ride-through control strategy, which not only considers the influence of reactive power on voltage recovery, but also analyzes the influence of power change on the frequency of microgrid from the perspective of frequency recovery during LVRT. This strategy decouples the MPPT control, allowing the photovoltaic panels to quickly track the voltage corresponding to the maximum power point after a fault recovery. This enables faster attainment of the maximum power output, thereby facilitating the rapid restoration of grid frequency. Through experimental comparative analysis, the article examines the photovoltaic output voltage, inverter power output, and changes in grid frequency during the low voltage ride-through process under the improved MPPT strategy and traditional FPPT control. The results demonstrate the superiority of the improved strategy in supporting grid frequency.
  • Sun Chengzhang, Ren Yongfeng, Yun Pingping, Mi Yue, Fang Chenzhi, He Bin
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    This paper addresses the issue of insufficient active frequency support and regulation capabilities at the receiving converter stations of flexible direct current transmission systems. A control strategy based on model predictive control (MPC) for grid-forming modular multilevel converters (MMC) is proposed. Firstly, the paper introduces the principle of frequency support for grid-forming MMCs. Subsequently, the MPC algorithm is integrated into the traditional droop control to overcome the inherent limitations of secondary frequency regulation in conventional droop control. This control method generates real-time optimal control functions that indirectly enable the dynamic adjustment of the droop coefficient, thus allowing the system frequency to stably track the setpoint and achieve the effect of secondary frequency regulation. Finally, time-domain simulations conducted on the Matlab/Simulink software platform validate the feasibility and effectiveness of the proposed control strategy.
  • Wang Liming, Liu Yingming, Pang Xinfu, Wang Xiaodong, Wang Hanbo
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    This paper aims at the problem of wind curtailment and power limitation in the cogeneration system under the “heat-oriented” operation mode in the heating season of the “Three North” regions in China. The system's flexibility is improved by introducing time-of-use electricity price and thermal comfort degree to exploit the potential of demand response and by adding a thermal storage tank and electric boiler to decouple heat and power further. An optimal scheduling method considering demand response and heat-power decoupling components is proposed. The method adopts a multi-objective hierarchical sequencing method to deal with the scheduling objectives, including the quality of the scheduling solution, economy, and wind power consumption capacity. An improved memetic algorithm, which uses adaptive crossover probability and mutation probability and a simulated annealing strategy based on neighborhood exchange, is designed to solve the problem and enhance the algorithm's convergence and optimization performance. The simulation results show that the scheme can effectively improve the economic operation and wind power utilization rate of the cogeneration system, and the effect of heat-power decoupling devices is better than that of demand response.
  • Zhang Xiaohu, Ni Jingyuan
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    In the operation of the combined powe system, it is required to reduce the system operation cost and realize the low-carbon goal at the same time. Combining the transferable, shiftable and reducible characteristics of the demand-side flexible loads, a total cost calculation model of integrated power generation cost, pollution penalty cost, stepped carbon trading cost, and load compensation cost is proposed to build a joint dispatch model of fire-wind-scenery-water-nuclear pumping and storage. The stepped carbon trading mechanism is considered to participate in optimal scheduling, which is able to ensure the simultaneous achievement of economic and low-carbon goals . In response to the reduction in solution diversity and accuracy of the Beluga algorithm during the evolution process, Tent chaotic mapping is introduced to solve the initial parameter sensitivity problem. The simulation results show that the total cost is reduced by 16.2% and the carbon emission is reduced by 12.5% after the flexible load and stepped carbon trading mechanisms being involved in the optimal scheduling. The economy and low carbon of this model are verified.
  • Yang Tingting, Li Haoqian, Wu Xinyan, Liu Yu, Kang Jingqiu
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    Given the differences between wind and thermal power in frequency regulation (the former is capable of rapid response while the latter possesses sustainable characteristics), this paper proposes a primary frequency regulation control strategy, which realizes efficient coordination among the two power sources and the energy storage system. Firstly, tailored to the diverse operational states of wind turbines in wind farms, a power distribution strategy based on a frequency regulation reserve factor is introduced, ensuring their safe and effective participation in frequency regulation. Moreover, a fuzzy control-based strategy for coordinating thermal and storage is designed to recover rotor speed. This strategy facilitates rapid and economical restoration of rotor speed, addressing the issue of secondary frequency drops in the system. Simulation results indicate that this strategy effectively achieves the coordinated primary frequency regulation of wind, thermal and storage systems, while ensuring economic benefit and reliability, which takes full advantage of the frequency regulation capacity of wind power, effectively improving the system's frequency characteristics.
  • Ai Jian, Shen Yehao, Yang Xianbin, Bi Kaitao, Fan Qigao
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    The voltage step-down ratio of traditional LLC resonant converters is constrained by transformer turns ratio and switching frequency range, and the voltage stress of the high-voltage side components is high, making it unsuitable for applications with a high step-down ratios. This paper proposes a novel LLC resonant converter with high step-down ratio to address this issue. Its voltage step-down ratio is four times that of a full-bridge LLC resonant converter, and it boasts advantages such as soft switching, self-balancing of input capacitor voltage, low voltage stress on high-voltage side components, and simplified control method. The paper elaborates on its operational mode and operating principle, and under the condition of delayed turn-off of the switching devices, provides a detailed analysis of the self-balancing mechanism of input capacitor voltage in the converter. Finally, by constructing a 2 kW experimental prototype, the paper demonstrates the advantages of the converter and validates the correctness of its operating principles.
  • Huang Weiliang, Wang Fei, Zhang Yang, Mo Lili, Lan Junkun, Chen Haoyong
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    To address the difficulty of aggregating and applying flexible resources in large urban power grids, a resource cluster optimization configuration algorithm is proposed. Firstly, a hierarchical partitioned clustering strategy based on the characteristics of flexible resources and auxiliary service demand is proposed, and the density-based spatial clustering of applications with noise (DBSCAN) clustering algorithm is used to cluster the resources to participate in the virtual power plant tasks with resource clusters. Secondly, according to the regulated power required by the virtual power plant and the capacity potential of the resource cluster, optimize the time period for its participation in tasks to maximize the resource utilization efficiency and the operational benefits of the virtual power plant. And then, the state potential game theory and penalty mechanism are introduced to optimize the resource allocation in the time period to ensure the stability and reliability of the task process. Finally, an arithmetic example is given to prove that under this scheme, the large-scale flexible resources of the virtual power plant can be efficiently optimized and allocated, and the algorithm is feasible and effective.
  • Yuan Guofeng, Ge Huaiyu
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    Aiming at the phase lag problem existing in the differentiator of the traditional active damping control method, an active damping control strategy for LC-type off-grid inverters based on a new type of digital differentiator is proposed in this paper. In this method, a new phase compensator is designed to compensate the phase delay of the backward differential differentiator more accurately, and the forward damping interval of the system is increased. The capacitive voltage active damping feedback coefficient has a larger selection interval, and the stability of the system and the ability to suppress the resonance peak are improved. The novel differentiator proposed in this paper is closer to the frequency characteristics of the ideal differentiator, and feedback parameters can be designed based on the active damping control mode of capacitive current feedback. The feasibility and effectiveness of the proposed method are confirmed by simulation and experimental results.
  • Liu Rui, Wang Ziyi, Zhao Bin, Wang Li, Zhang Chuanliang, Liu Dong
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    To reduce the energy supply cost and CO2 emissions of the park and meet the energy demands of different grades in industrial production, a distributed energy system for the park that takes into account P2G and the supply of thermal energy of different grades is proposed. Firstly, the typical daily load is selected using the k-means clustering algorithm. Then, a capacity optimization model is established with the objective of minimizing the annual total cost and CO2 emissions of the system. Next, a decision-making process is initiated utilizing the TOPSIS method, which has been adjusted through entropy weighting, in order to address the derived Pareto frontier. Finally, a comparative analysis is conducted to investigate the impact of different system configurations on their overall performance. The research results indicate that the proposed distributed energy system for the park which considers P2G and thermal energy grades is more economical and environmental friendly. The integration of heat pumps and P2G technology effectively enhances the system's renewable energy absorption capacity, optimizes its energy supply, and improves its exergy efficiency by 16.8%.
  • Liu Bing, Liu Xiaohai, Zhu Li, Ji Yuchen
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    PV building renovation projects currently lack a unified standard evaluation system. Therefore, on the basis of previous studies related to the evaluation of economic and comprehensive benefits of photovoltaic buildings, the evaluation matrix of photovoltaic building renovation projects is established by constructing a multilevel grey system. The system combines the entropy weight method, grey correlation method and technique for order preference by similarity to an ideal solution (TOPSIS method) to establish an intuitive and feasible research model to compare and evaluate the series of renovation plans of an office building of a certain government agency located in Tianjin. The research results show that the PV building evaluation model established under the multilevel grey system is convenient and effective, and achieves quantitative analysis of the retrofit scheme. The model is used for the subsequent improvement of the PV scheme of this project and the evaluation of other PV building retrofit projects. Installing PV on the roof and façade of a typical office building with good lighting conditions can achieve the goal of a “net-zero-energy building”, with an annual self-sufficiency rate of more than 60 percent.
  • Zhu Li, Wang Peng, Huo Yujiao
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    The electro-thermal performance of photovoltaic liquid-flow windows with different inclination angles (0°, 15°, and 30°) was experimentally evaluated in an outdoor setting under cooling circumstances. These windows are designed using a combination of semi-transparent solar modules and liquid-flow technology. Comparing the performance of the photovoltaic window with an air layer as a reference, we analyze the difference when the liquid flow input temperature is 25 ℃, and the flow rate is 0.4 L/min. The findings indicate that the thermal insulation performance of the photovoltaic liquid-flow window is much superior to that of the photovoltaic window with an air layer. When the solar irradiance on the surface of the photovoltaic window reaches 620-630 W/m2 and the outdoor ambient temperature is 38-39 ℃, the average indoor surface temperatures of the photovoltaic liquid-flow window and the photovoltaic window with an air layer are respectively 9.5 ℃ lower and 1 ℃ higher than the outdoor ambient temperature. At different inclination angles, the heat flow density through the photovoltaic window with an air layer that enters the room directly is significantly higher. The disparity is most apparent when the inclination angle is set at 30°, the solar irradiance is between 640 and 650 W/m2. The temperature difference between indoor and outdoor conditions is 9 to 10 ℃. The mean value of transient heat entering the indoor space directly through the photovoltaic window with an air layer is 9.5 W, which is about 33 times higher than that of the liquid-flow window. When the indoor space is being cooled, the working temperature of the photovoltaic window with an air layer is distributed between 24.9 and 27.3 ℃. When the temperature of the liquid inflow is about equal to the temperature of the municipal water supply, which is 25 ℃ in summer, it is not feasible to efficiently lower the temperature of the solar cells.
  • Song Jiancai, Liu Jianrong, Zhang Xinyang
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    With the spatial and temporal characteristics of solar irradiance such as intermittency and nonlinearity, the prediction accuracy has a significant impact on the optimal operation of multi-energy cooperative heating systems. To address the problems of the existing machine learning prediction algorithms, such as the difficulty of hyper-parameter optimization and the insufficient accuracy to meet the demand of optimization and regulation, a solar irradiance prediction model based on the dung beetle optimized temporal convolutional network (DBO-TCN) is proposed. The model utilizes the TCN temporal convolutional network to effectively integrate the parallel processing capability of the convolutional neural network and the temporal modeling function of the recurrent neural network. The hyperparameters of TCN are optimized by simulating the dung beetle habit swarm intelligent optimization algorithm, which more accurately exploits the spatiotemporal evolution law of solar irradiance. Detailed comparison experiment results with state-of-the-art algorithms such as TCN and LSTM show that the proposed solar radiation prediction model based on DBO-TCN demonstrates superior prediction accuracy and robustness.
  • Zhuang Shuyi, Bu Qiangsheng, Luo Fei, Zhang Tong, Ye Zhigang, Guo Ye
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    This study, taking Jiangsu Province as an example, explores a regional continuous grid division scheme by combining remote sensing-based surface solar radiation data with Gaussian mixture models. The research confirms that the hourly radiation data obtained from remote sensing inversion has high accuracy in Jiangsu Province in comparison to ground observations, with correlation coefficients of 0.95 and 0.89 for the global and diffuse radiation, respectively. In addition, the spatiotemporally continuous estimates accurately reveal the spatial differences and monthly variations in both global and diffuse radiation within the region. Using monthly sequences as the basis for solar radiation zoning, this study checks the changes in information entropy and actual zone number of the zoning result of Gaussian mixture model under different maximum zone number constraints, finding that constructing 100 to 208 continuous zones in Jiangsu Province is appropriate. As the zone number increases, the zoning granularity becomes finer, and the zoning scheme evolves from mainly revealing differences in the amount of surface radiation to concurrently considering differences in both the amount and variations.
  • Yan Wuyuxin, Zhang Haibo, Liu Tonghui, Huang Songtao, Shang Guozheng
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    To enhance the accuracy of ultra-short-term multi-step wind power forecasting, this study proposes a novel model that integrates improvements in the loss function with a patch-based temporal Transformer network. Specifically, an image-based anomaly detection and cleaning algorithm is firstly employed for data preprocessing, thereby enhancing the quality of the wind power data. Subsequently, to improve the robustness of the Transformer architecture and to strengthen its ability to capture local sequential dependencies, a patch module and a channel-independent strategy are incorporated into the standard Transformer framework. Finally, a novel multivariate nonlinear loss function is designed to effectively filter noise and to enhance the model's sensitivity to shape variations during sequence prediction. Extensive experimental results demonstrate that the proposed approach significantly outperforms several baseline models across multiple error metrics, thereby achieving substantial improvements in ultra-short-term multi-step wind power forecasting accuracy.
  • Tang Chunsheng, Mai Zijun, Shen Liangduo
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    In this paper, the typhoon Muifa (No. 2212) was selected as a case study. A three-way coupled hydrodynamic-wave-sediment numerical simulation was conducted using a finite element numerical model. This simulation involved the use of large-and-small-scale-nested models within an offshore wind farm site located in Jiangsu. The objective was to calculate the evolution trend of the seabed under the influence of storm surges and waves caused by the typhoon. The results demonstrate that the extent of scouring and siltation of the seabed in the site area under the influence of the typhoon is more pronounced than that under the no-typhoon scenario. During its passage, the typhoon enhances the transport of solid materials on the seabed. The use of numerical simulation allows for the analysis and prediction of the trend of sediment scouring and siltation caused by typhoons on the seabed. This provides a scientific basis for the monitoring and prediction of seabed scouring, as well as for the safety guarantee and predictive operation and maintenance of offshore wind farms.
  • Zhou Aiguo, Shi Jinlei, Li Jiajun, Zhu Yutian, Dong Tao
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    To obtain the equivalent damping ratio of the blade and its variation relationship with the response amplitude without acquiring detailed blade properties, a calculation method for the equivalent damping ratio of the blade based on traction loading is proposed. Based on vibration theory, the response characteristics of the blade under different periodic excitation are analyzed, and the mapping relationship among the equivalent damping ratio, deformation, and steady-state amplitude is constructed. Three large blades are loaded in steps using Tug Fatigue Testing system, and the equivalent damping ratios under various stages of amplitude are calculated, revealing the nearly linear relationship between the blade's equivalent damping ratio and the steady-state amplitude. At the full-load stage, the equivalent damping ratio of the blade reachs 2-3 times that under small amplitudes. Additionally, the calculated results are compared with those obtained from the free decay method, verifying the feasibility and applicability of the method for calculating the blade's equivalent damping ratio based on traction loading.
  • Fan Jingmin, He Guanglin, Wang Xin'gang, Zhang Kui, Li Peiyi, He Ziqiu
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    To enhance the accuracy of wind power forecasting and solve the lag in single neural network models when predicting fluctuating and intermittent wind power data, this paper proposes a hybrid forecasting model integrating Variational Mode Decomposition (VMD), Temporal Convolutional Networks (TCN), Gated Recurrent Units (GRU), and Attention Mechanism (AM). The model employs VMD to decompose raw wind power data into Intrinsic Mode Functions (IMFs) with different central frequencies, decreasing the data's stochasticity and volatility. Subsequently, the TCN-GRU-AM model independently predicts these IMF subsequence. The combination of TCN and GRU effectively captures the complex features and temporal dependencies within each subsequence, while AM boosts the model's capacity to recognize crucial time steps in time series data. Ultimately, the predicted components are superimposed and reconstructed to yield the final wind power prediction outcome. Experimental results demonstrate that this model significantly enhances forecasting precision and effectively mitigates the lag phenomenon.
  • Liu Weijie, Huang Guoqing, Peng Liuliu, Yang Qingshan, Jiang Yan
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    When optimizing the layout of a wind farm, typically only objective functions such as Annual Energy Production (AEP) are considered, easily causing increased fatigue damages for wind turbines and higher operation and maintenance costs for the wind farm, thus the final layout of wind farm might not be the optimal if the optimization codes don't consider the wind turbines fatigue loads constraint. On account of that, this study proposes practical measures to address this issue. Firstly, the damage equivalent loads are predicted by inputting load surrogates for the effective wind speed and effective turbulence intensity of each wind turbine. After that, the open-source wind farm optimization platform TOPFARM is utilized in this study to optimize the wind farm layout. Furthermore, the constraint is added to limit the Lifetime Damage-equivalent Fatigue Loads (LDEL) of the wind turbines during the optimization process. Finally, this study optimized the layout of Horns Rev 1 wind farm considering constraints on wind turbine fatigue loads, concluding that the optimized wind farm only sacrificed a small amount of AEP in exchange for a significant reduction in LDEL.
  • Liao Weiliang, Zhang Mingming, Yang Jianjun, Fan Youhua, Deng Yanfei
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    Wind power generation, as the third-largest electricity supply mode in China, plays a crucial role in adjusting the national energy structure and achieving the "dual carbon" goal. With the rapid development of wind turbines in recent years, the trend towards larger turbines has become increasingly prominent due to factors such as cost reduction and achieving grid parity. However, the increased flexibility of blades has led to intensified flutter, resulting in a series of issues such as increased blade fatigue and reduced unit lifespan. Research on flutter suppression in super large wind turbines is essential for the sustainable development of the wind power industry. This paper summarizes the development history and current research status of various flutter suppression technologies for wind turbine blades, analyzes the impact of flutter on the safety and performance of wind turbines, introduces the characteristics, application scope, and improvement degree of different flutter suppression technologies on the dynamic response and stability of wind turbines, and summarizes the main research results and existing challenges. The future research direction is also proposed, providing a reference for the sustainable development of flutter suppression research and the large-scale development of wind turbines
  • Sun Guanqun, Lyu Yiru, Wang Xin'gang, Dong Wenjuan, Guo Jinlong, Li Gang
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    Aiming atthe maximum power point tracking (MPPT) of Variable excitation voltage control problem of switched reluctance generator (SRG) under variable speed wind power generation conditions is discussed in this article. In order to explore the phase current problem of direct control SRG generation stage, the multivariable control problem when the switching angle is not fixed, and the effectiveness of high-speed operation and continuous conduction mode (CCM) are explored in this article. Firstly, a new type of SRG power converter is proposed, which is composed of a forced excitation direct voltage rise main circuit and a variable excitation voltage excitation circuit. Its working process is described in detail, and the relevant mathematical model of SRG is derived, and the relevant theoretical characteristics are analyzed. In terms of control strategy, a global single variable excitation voltage disturbance method below base speed is proposed as MPPT control method, and a new excitation voltage disturbance model is given. In addition to the excitation stage, the phase current can be directly adjusted through excitation voltage transformation in the generation stage under the support of the new power converter; In the aspect of switch angle control strategy, the control model of automatic on-line fast linear regulation of turn-on angle and turn-off angle with speed is given. Thus, after coupling multiple traditional controllable variables, MPPT control is implemented only with the excitation voltage as a single variable. Pitch angle is introduced to control constant power output above base speed. The detection quantity in the whole working area is only rotor position (speed) and power. The effectiveness of the new power converter and control strategy under high-speed CCM operation is verified by simulation and experiment, and compared with the results of two existing variable excitation voltage MPPT.
  • Sun Pengjie, Zhang Rong, Xu Yang, Chen Zhenghong
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    Based on the wind turbine icing observation records from November 2017 to February 2022 in a mountain wind farm in Hubei Province, and combined with high-precision meteorological reanalysis data, interpolation is carried out by comprehensively considering the terrain conditions of wind turbines, on the basis of the hourly meteorological data of each fan, the changes of the meteorological factors during the icing and melting stages are analyzed, and the critical values of the meteorological factors at the icing and melting stages are obtained. 1) during the icing stage of the fan, the air temperature decreased continuously, the relative humidity increased continuously, and the wind speed did not fluctuate too much before and after the icing stage. 2) during the icing stage of the fan, the air temperature rises continuously and reaches the peak at the time of ice melting; the relative humidity decreases continuously and reaches the lowest value at the time of ice melting; the wind speed remains stable and significantly decreases compared to the icing stage. 3) the critical meteorological conditions for the ice coating of the fan are that the air temperature at the height of the wheel hub is about 0-2 ℃, the wind speed is in the range of 4-6 m/s, there is little or no precipitation, and the relative humidity is over 95%; The critical meteorological conditions for ice melting of the fan are that the air temperature is above 4 ℃ at the height of the wheel hub, the wind speed is in the range of 2-4 m/s, and the relative humidity is less than 90%.
  • Liu Suixian, Peng Yue, Xiang Ling, Hu Aijun
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    A dynamic model of two-stage planetary gear plus one-stage parallel shaft gear transmission system for wind turbines is established, which comprehensively considers the effects of internal and external excitations and a variety of nonlinear factors. The influence mechanism of the excitation frequency and the backlash on the dynamic characteristics of the system is deeply studied. The results show that with the variation of excitation frequency, the system mainly exhibits periodic motion, while chaos is readily induced when the excitation frequency approaches the system's natural frequency or the principal subharmonic resonance region. Crisis and period-doubling bifurcation are the main paths to chaos for the system. Increasing the backlash leads to the system undergoing a complex evolutionary process from periodic motion to chaos, and then back to periodic motion, during which attractor coexistence and jump discontinuity phenomena exist. Through synergistic optimization of backlash design and avoidance of the principal subharmonic resonance region, unstable phenomena such as chaos can be effectively suppressed, significantly enhancing the stability and reliability of multistage planetary gear systems.
  • He Jia, Dong Li, Ge Mingwei
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    By improving the constraint conditions of the traditional mixed-linear integer programming model and introducing optional path pre-reduction and dynamically generated non-crossing constraints of cables, a path planning method for the collector system suitable for large-scale offshore wind farms is proposed. The case test shows that the cost of the optimized wind farm collection line is reduced by 7.27%. The improved model significantly reduces the storage space requirement and solution time, and greatly enhances the computational efficiency.
  • Zhou Bo, Zhang Lixin, Bao Hongbing, Yu Zhiqiang
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    The problem of blade load testing and identification are discussed for onshore wind turbines operating under steady state conditions. Firstly, the load test scheme is designed based on the equivalent fatigue load theory and strain load measurement technology. According to the load measurement requirements, data acquisition, sensor layout and calibration are carried out to build the blade monitoring system. Secondly, the strain gauges are used in the blade monitoring system to obtain the test load under steady state conditions. In the blade monitoring system, the wind characteristic information from wind tower and radar is collected synchronously. At the same time, the wind turbine control state information is obtained by the SCADA system. The simulation load is obtained according to the wind speed capture matrix. Since the test load data duration is different from that of the design load, the design load, test load and simulation load are converted to equivalent fatigue load at 1Hz for comparison. The results show that the ratio of test load and design load of the same section is in the range of 104.0%-130.2%, which meets the safety margin of blade load design. The test load and simulation load of the same section are quite different, indicating that the dynamic change of load monitoring under steady state condition is strongly related to turbulence intensity. Therefore, it is necessary to monitor wind shear and turbulence parameters to reflect the actual load, which can prevent overload operation effectively.
  • Yan Chen, Wang Yu, Wu Yinfeng, Liu Wei, Cao Shugang, Luo Xiang
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    A joint development structural form of offshore wind power and ocean ranching under the wind-fishing integration model is proposed, and its integrated structural analysis and research are conducted under fixed foundation conditions. The stress changes before and after structural integration are compared, and the feasibility and advantages of this structural form compared to a single development model are demonstrated, providing a new development idea for the integrated development model of offshore wind-fishing.
  • Li Zhengnong, Xiao Bei, Zhong Min, Wu Honghua
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    In order to study the flutter performance of the flexible photovoltaic supports under the condition of roof wind field, based on the Ansys Fluent calculation platform, according to the measured results of a roof wind field, the simulation of the roof wind field is realized by embedding a custom function ( UDF ). The Newmark-β method is used to calculate the fluid-solid coupling of flexible photovoltaic modules in the range of 0°-40°. The simulation includes vertical and torsional degrees of freedom. It is found that the flexible photovoltaic module will also undergo vertical bending and torsional coupling vibration in the roof wind field environment, and this flutter form is self-limiting soft flutter. The inclination angle of the photovoltaic module has a significant effect on the flutter performance of the roof flexible photovoltaic system: within the inclination angle of the photovoltaic module of 0°-30°, the flutter critical wind speed decreases with the increase of the inclination angle; in the angle of 30°-40°, the flutter critical wind speed increases with the increase of the inclination angle. The spectrum analysis shows that with the increase of inclination angle, the proportion of torsional motion in coupled vibration increases gradually, and the proportion of torsional component in the range of 0°-40°inclination angle is 52.3%-74.2%. The flutter critical wind speed obtained from this analysis can provide reference for the region selection and parameter design of roof flexible photovoltaic system engineering construction.
  • Chang Zhencheng, You Guodong, Xiao Ziyue, Lu Yuran, Liu Ruijun, Xi Zhongqi
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    Aiming at the problem of strong intermittency and volatility and low prediction accuracy of wind power, this paper proposes a short-term wind power prediction model based on Beluga whale optimization algorithm based on multi-strategy fusion (MBWO), Variational mode decomposition (VMD), and Kernel extreme learning machine (KELM) prediction model. Firstly, the original wind power sequence is smoothed by VMD and the MBWO-KELM model is constructed. secondly, the decomposed subsequences are input into the MBWO-KELM model for prediction. Finaly, the different subsequences are reconstructed to obtain the final wind power prediction. The results show that the prediction accuracy and stability of the model are significantly better than other models under different seasons, and the MAPE values are all controlled below 6%, which can improve the utilization efficiency of wind power energy.
  • Yang Rui, Zhu Xianhang, Tian Nan, Zeng Xueren, Fang Liang, Bao Guangchao
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    In order to study the influence of wing fence installation position on the aerodynamic performance of wind turbines, a 1.5 MW wind turbine is taken as the research object. Considering the blade spreading position and circumferential position, 13 models including the original blade are calculated and analyzed under different conditions through numerical simulation. The results show that not all models can improve the blade power, which also explains the necessity of exploring the optimal installation position of wing fence. Compared with the installation of wing fence on the pressure surface and both sides at the same time, the installation of wing fence only on the suction surface can more effectively inhibit the spreading flow separation, make the separation point move back and improve the aerodynamic performance of the blade. Among them, at the wind speed of 9.9 m/s, the performance of model 5 (the wing fence only on the suction surface at the spreading position 8 m from the blade root) is the best, which effectively inhibits the flow separation and improves the power by 1.876%, which is 0.541% higher than the model 4 with wing fence installed on both sides at the same time.
  • Guo Xiaohui, Liu Xin, Zhou Yiming, Hu Hewen, Yan Shu
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    The design of monopile foundations for offshore wind turbines involves multiple disciplines and faces the challenges such as uncertainty, non-uniformity of the design standards, and low computational efficiency. Focusing on the Jiangsu sea area, an integrated design approach was used to compare conventional verification methods, including API-WSD and ISO standards, with a new verification method that combines the fourth strength theory with European standards. The primary aim was to analyze the differences between the old and new verification methods for monopile foundations. By statistically analyzing the geometric parameters of 17 monopile foundations from different wind farms, the study investigated the relationships between mudline loads, pile diameter, and pile length. This led to the establishment of a relationship curve between load, geometric dimensions, and weight. As a result, a rapid evaluation method for monopile foundation design was proposed, and an intelligent rapid evaluation platform was developed.
  • Fei Wenjun, Tan Jianjun, Zhu Caichao, Li Hao, Ye Wei, Sun Zhangdong
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    Under heavy load conditions, there is a complex nonlinear coupling relationship between the structure deformation of the wind turbine drivetrain and the dynamic clearance of the planetary gear sliding bearing, which easily causes the edge contact wear of the sliding bearing and reduces the stability of the system. Based on the 2MW wind turbine drivetrain, this study considers the flexibility of the contact interface of the planetary gear sliding bearing as well as the flexibility of the complex-shaped components such as the gearbox housing and the ring gear. The average flow Reynolds equation is used to compute the dynamic film thickness of the planetary gear sliding bearing. The correlation between the gearbox housing, ring gear, coupling points of the carrier and elastic support is established by the finite element reduction theory. A tribo-dynamic coupling model of wind turbine drivetrain with planetary gear sliding bearing is established. The influences of operating conditions of wind turbine drivetrain and structure parameters of the planetary gear sliding bearing on the dynamic characteristics of wind turbine drivetrain are investigated, and a test rig is conducted to validate the theoretical analysis. The results show that the uneven tooth load distribution of the planetary gear train system could be improved by increasing input torque and reducing the clearance of the sliding bearing. The planetary gear sliding bearing does not change the dominant frequency components of the system vibration acceleration response, but it will cause an extra frequency related to the rotational frequency of the planetary gear in vibration displacement, and increasing the width-diameter ratio and clearance of the planetary gear sliding bearing will increase the system vibration. The planetary gear sliding bearing is prone to solid contact under high-torque conditions, but reducing the width-to-diameter ratio and clearance of the planetary gear sliding bearing is conducive to improving the load-sharing performance of the planetary gear train system.
  • Fu Tonglin
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    In this study, three machine learning models, including artificial neural network (ANN), support vector machine (SVM), and extreme learning machine (ELM), were coupled with ensemble empirical mode decomposition (EEMD) and Grey wolf algorithm (GWO) to construct hybrid models to predict wind speed of Huan County wind farm in Longdong area of Loess Plateau in China. And then the forecasting results of each hybrid model were taken as input variables, and the minimum sum of squares of prediction errors was regarded as the objective function, the combined model without negative constraint theory (NNCT) was proposed to realize the accurate prediction of wind speed in the study area, while the weight of the combined model was optimized by using GWO algorithm. Numerical simulation results show that the GWO-NNCT model can effectively reduce the risk of model selection and has higher prediction accuracy than that of the hybrid models and single machine learning model.
  • Ma Lu, Zhou Le, Zhang Xianfeng, Lei Xiao, Shen Xin, Du Zhaohui
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    For large floating wind turbines, the effects of blade flexibility on wind turbine performance cannot be ignored. Based on lift-line free vortex wake model and geometrically exact beam theory model, the effects of blade flexibility on the aerodynamic performance of IEA-15 MW wind turbine is studied in this paper. The results show that the additional velocity brought by the platform's surge motion will change the inflow velocity of the wind turbine, thus causing the fluctuate of wind turbine loads. Compared with the fixed condition, the output power of the wind turbine is increased under the surge condition, while the wind turbine's load is decreased after considering the flexibility of the blade. In addition, there is a delay in the response of the wind turbine's loads to the change of the inflow velocity under surge condition, and the additional velocity caused by the flexible deformation of the blades will aggravate the delay of the load response.
  • Qiu Xu, Wang Zhicheng, Wan Zhaocong, Feng Youquan, Chen Junling, Li Hui
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    With the increasing of structural height and subsoil flexibility of offshore wind turbine tower, the two-step structural design method based on the traditional first-order elastic analysis for the tower and foundation structures may no longer be safe and using global second-order elastic analysis should be more reasonable. In this paper, different structural design methods in the existing specifications are reviewed and the new design method based on global second-order elastic analysis is proposed for different types of offshore wind turbine structures. The checking formulas based on the first-order elastic analysis of global stability under the combined action of compression and bending moment is revised so that it can be applied to the calculation of uniform and variable cross-section members under the second-order elastic analysis. According to the requirements of strength and stiffness for bracing members, the method to consider the global geometric imperfections of jacket structures by applying a notional force at the support point is introduced. The new design method proposed in this paper can maintain a coordinated transition with the traditional design method based on the first-order elastic analysis. Moreover, the second-order effect of offshore wind turbine structures can be better considered. This method has strong engineering application feasibility and can provide reference for the design and optimization of offshore wind turbine structures.
  • Li Ming, Cao Jie, Liu Zongli, Wang Jinhua
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    To address the limitations of existing deep learning methods in feature extraction and sample similarity modeling for wind turbine gearbox fault diagnosis, we propose a Residual Connected Graph Attention Network (ResGAT) that incorporates multiple distance metrics. This approach constructs a fully connected graph to generate an adjacency matrix and integrates various distance metric methods to fully explore the similarity between samples. Utilizing graph attention networks for node feature aggregation, coupled with residual connections, mitigates the risk of gradient vanishing. Furthermore, L2 regularization and bias correction are incorporated into the Adam optimizer to mitigate overfitting issues. Experimental results demonstrate that the ResGAT method effectively captures sample similarity on the WT-Planetary gearbox dataset and exhibits outstanding performance in fault diagnosis.
  • Weng Jiedi, Jiang Yongzheng, Fu Jiahao, Tao Lian, Yang Jingyun
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    To address the challenges posed by existing numerical simulation techniques, which often encounter issues of jamming and low efficiency when simulating the flow of biomass particles mixed with fluid in curved pipes, this paper introduces a novel boundary identification method. This method aims to accurately identify complex customized curved boundaries. Furthermore, the effectiveness and accuracy of both LBM-DEM-IMB and the proposed algorithms are validated through simulations of fluid-particle flow within customized curved boundaries. The results indicate that the curvilinear boundary identification method exhibits high feasibility and accuracy in delineating smooth curvilinear boundaries. Moreover, it aptly captures the effects of curvilinear boundaries on particle flow behavior, including particle retention in pipe craters and the occurrence of Rayleigh-Taylor instability during the free settling of particles in curved pipes. This study provides an effective numerical calculation method to enhance the computational capability of IMB for fluid-particle systems within curved boundaries. Additionally, it offers insights into particle flow dynamics, with the ultimate goal of improving the transportation and processing efficiency of biomass particles and similar materials.
  • Gao Dongzhao, Wang Kunlin, Sheng Songwei, Ye Yin, Wang Zhenpeng, Wang Wensheng
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    The hydraulic energy storage wave energy converter is unable to achieve maximum power point tracking due to the decoupling effect of accumulators. In addition, the hydraulic generator sets with uncontrollable rectification mode result in the frequent starts and stops, uncontrollable power output, and failure to adaptively track the incoming wave power. Therefore, a power tracking control method based on high-frequency rectification is proposed. The mathematical models of the hydraulic energy storage power generation system and pressure load are established. On this basis, the generator speed is controlled by a high-frequency rectifier, thereby improving the output characteristics of the hydraulic power generation system. It achieves automatic tracking of the incoming wave power by the hydraulic generator set within the power variation range. The simulation test results indicate that the input flow of the hydraulic motor rate can automatically track the output flow rate of the hydraulic cylinders, and the system pressure can automatically match the incoming wave power. Therefore, the power tracking control method enhances the characteristics of the hydraulic generator set of the wave energy converter and reduces the starts and stops, thereby achieving both wave power tracking and adaptive load regulation. It is beneficial in promoting the further research on the hydraulic energy storage wave energy converter.
  • Zhang Yaqun, Fan Zhaohui, Sheng Songwei, Li Xianhao, Ye Yin
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    In order to achieve a rapid response to waves and the efficient collection and utilization of wave energy, starting from the hydraulic power take-off(PTO)system of the wave energy converters, the scheme design of the multi-stage unit PTO system was carried out, and the design parameters of each component were determined. To verify the performance of the multi-stage unit PTO system, simulations were conducted under three sea conditions for a single-stage PTO system, a two-stage unit PTO system (50 kW+50 kW), and a three-stage unit PTO system(20 kW+30 kW+50 kW), all with a total installed power of 100 kW. The system pressure, total power generation, and the power of each generator from the simulation results were compared and analyzed. The results show that under small wave conditions, the three-stage unit generates the least amount of electricity, while the two-stage unit generates the most electricity; under large wave conditions, the three-stage unit generates the most electricity, and the two-stage unit generates the least. In summary, under the same wave conditions, the multi-stage unit energy conversion system has a better response time and generates more electricity than the single-stage unit; and the more stages a unit has, the higher the system's adaptability to large waves will be.
  • Zhou Xiangyun, Hu Shixiang, Zhang Xiayang, Gao You, Sun De'an
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    The ground heat exchanger was simplified as a finite solid cylindrical heat source, and an analytical model of layered soil heat transfer considering the interfacial thermal resistance effect was established. The finite Hankel and Laplace transforms were used to obtain the Laplace domain solutions to the temperature of each soil layer. The correctness of the proposed model was verified by comparing with the numerical solution and existing analytical solution. The influence of interfacial thermal resistance on the temperature distribution of near-field layered soil was evaluated. The results show that the interface temperature above the soil layer increases due to heat accumulation, and the interface temperature below the soil layer decreases due to heat flow because of the existence of thermal resistance effect. The temperature distribution at the interface of soil layer shows a hopping phenomenon. The influence of thermal contact resistance on temperature response increases with increasing the heat transfer time, but decreases with increasing the radial distance. The greater the difference of the thermal conductivity between adjacent soil layers, the greater the influence of thermal contact resistance on the temperature distribution.
  • Wang Fang, You Tian
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    The energy pile-building integrated photovoltaic/thermal (BIPV/T) system recovers the waste heat from photovoltaic power generation and stores it in the soil around the energy piles, maintaining the soil thermal balance around energy piles while enhancing the photovoltaic efficiency. To promote the application of the system, this study selects four representative cities in China's severely cold and cold regions to explore the system's performance in different regions. By establishing the dynamic system model on TRNSYS platform, the systems in the four cities are designed under the same operation strategies and their performances are compared. The results indicate that due to the highest heating demand for the building in Harbin, the required solar heat storage capacity is the highest for the soil, reaching 130.91 MWh. The BIPV/T collector has the highest electric efficiency and output in Harbin, being 19.31% and 73.29 MWh respectively. The photovoltaic modules in Xining have the highest heat collection efficiency, which is 36.24%. The system exhibits the best energy-saving performance in both Harbin and Xining, with energy savings rates exceeding 96%. Additionally, the system also demonstrates good economic viability during long-term operation. This system promotes the application of renewable energy in buildings and achieve low-carbon emission in the building sector.