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Capacity optimization strategy for energy storage system to ensure power supply

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  • Huimin Fu
  • Ming Shi
  • Miaomiao Feng

Abstract

Photovoltaic (PV) and wind power generation are very promising renewable energy sources, reasonable capacity allocation of PV–wind complementary energy storage (ES) power generation system can improve the economy and reliability of system operation. In this paper, the goal is to ensure the power supply of the system and reduce the operation cost. The PV, wind and ES system models are analyzed. The differential evolutionary (DE) algorithm is adopted to optimize the particle swarm optimization (PSO) algorithm, and the parameters of the PSO algorithm are changed through the DE algorithm to obtain better performance. We use MATLAB to verify that when the system is composed of 100 kW PV and 100 kW wind power, the battery capacity obtained by PSO algorithm is 400 kWh, while the algorithm proposed in this paper only requires 330 kWh. Although the loss of load probability of the system is improved by about 0.12%, the cost is saved by 17.5%. To improve the system operation reliability, we recommend increasing PV, wind and ES capacity at the same time rather than increasing ES capacity separately.

Suggested Citation

  • Huimin Fu & Ming Shi & Miaomiao Feng, 2023. "Capacity optimization strategy for energy storage system to ensure power supply," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 18, pages 622-627.
    • Handle: RePEc:oup:ijlctc:v:18:y:2023:i::p:622-627.
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    File URL: http://hdl.handle.net/10.1093/ijlct/ctad039
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    References listed on IDEAS

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    1. Diaf, S. & Notton, G. & Belhamel, M. & Haddadi, M. & Louche, A., 2008. "Design and techno-economical optimization for hybrid PV/wind system under various meteorological conditions," Applied Energy, Elsevier, vol. 85(10), pages 968-987, October.
    2. Garg, Harish, 2016. "A hybrid PSO-GA algorithm for constrained optimization problems," Applied Mathematics and Computation, Elsevier, vol. 274(C), pages 292-305.
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