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14 October 2022 Multi-type energy storage system capacity optimization method oriented photovoltaic power smoothing
Yan Chenyu, Fan Yanfang, Lu Yi, Jia Tao, Fengmin Xing, Yanjie Zhang, Han Dong, Zhang Hong
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Proceedings Volume 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022); 123431K (2022) https://doi.org/10.1117/12.2648196
Event: 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 2022, Qingdao, China
Abstract
The stochastic volatility of photovoltaic power generation and the high energy storage cost are the main factors that restrict the large-scale development of photovoltaic power generation. Aiming at the problem, the adaptive wavelet packet decomposition based on the photovoltaic grid-connected power limit requirement is used to analyze the photovoltaic power, and the multi-type energy storage system is used to smooth the power fluctuation component. In this paper, the operating state of the energy storage element is fully considered, and the energy conservation, state of change (SOC), and power constraints are used as constraints to establish an energy storage load distribution model. The example analysis proves that the proposed method can effectively smoothing the fluctuation of photovoltaic power and improve the economics of energy storage system. It has certain practical significance and reference value for practical engineering applications.
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Yan Chenyu, Fan Yanfang, Lu Yi, Jia Tao, Fengmin Xing, Yanjie Zhang, Han Dong, and Zhang Hong "Multi-type energy storage system capacity optimization method oriented photovoltaic power smoothing", Proc. SPIE 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 123431K (14 October 2022); https://doi.org/10.1117/12.2648196
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KEYWORDS
Solar energy
Photovoltaics
Lithium
Wavelet packet decomposition
Wavelets
Control systems
Fuzzy logic
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