OUTPUT POWER CONTROL OF PHOTOVOLTAIC-THERMOELECTRIC HYBRID POWER GENERATION SYSTEM CONSIDERING METEOROLOGICAL FACTORS

Wang Yuhang; Li Bin

doi:10.19912/j.0254-0096.tynxb.2024-0386

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (7) : 228-236. DOI: 10.19912/j.0254-0096.tynxb.2024-0386

Special Topics of Academic Papers at the 49th Annual Meeting of the China Association for Science and Technology

OUTPUT POWER CONTROL OF PHOTOVOLTAIC-THERMOELECTRIC HYBRID POWER GENERATION SYSTEM CONSIDERING METEOROLOGICAL FACTORS

Wang Yuhang, Li Bin

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Abstract

Aiming at the problem of large power output fluctuations and overall energy efficiency impact caused by the different characteristics of the photovoltaic temperature difference hybrid power generation system due to the two power generation methods, and the current control methods not considering weather factors and lacking proactive power suppression thinking in the early stage, a photovoltaic temperature difference hybrid power generation system output power control technology considering meteorological factors is proposed. This article considers the direct impact of weather conditions on the output power of photovoltaic temperature difference hybrid power generation systems, and classifies and analyzes weather factors. By predicting and controlling the output power of the system under different weather conditions, it no longer relies on a single rear terminal information. Using PSO algorithm to optimize K-means algorithm to calculate the probability distribution of output power, in order to obtain a more comprehensive power output information base. On this basis, input the power data of the desired probability distribution area into the least squares support vector machine to complete the control of output power. The experimental results show that the proposed method can effectively control the output power of the photovoltaic temperature difference hybrid power generation system under the conditions of a battery temperature of 30 ℃ and three series numbers, whether it is unshielded, completely shielded, and the effective light irradiance after shielding is 25 % and 50 % of the unshielded, and the overall decrease in Skill values and surface fluctuations are small, with MAE and MSE values both around 0.3. This method effectively improves the accuracy and stability of output power control in power generation systems, and has strong practical applicability.

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photovoltaic-thermoelectric hybrid power generation system / power control / probabilistic neural network / probability distribution attributes / least squares support vector machine

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Wang Yuhang, Li Bin. OUTPUT POWER CONTROL OF PHOTOVOLTAIC-THERMOELECTRIC HYBRID POWER GENERATION SYSTEM CONSIDERING METEOROLOGICAL FACTORS[J]. Acta Energiae Solaris Sinica. 2025, 46(7): 228-236 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0386

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