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Capacity Optimal Allocation Method and Frequency Division Energy Management for Hybrid Energy Storage System Considering Grid-Connected Requirements in Photovoltaic System

Author

Listed:
  • Wei Li

    (School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300380, China)

  • Ruixin Jin

    (School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300380, China)

  • Xiaoyong Ma

    (School of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Guozun Zhang

    (School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300380, China)

Abstract

The coordination between a hybrid energy storage system (HESS) and photovoltaic (PV) power station can significantly reduce grid-connected PV power fluctuations. This study proposes a HESS capacity optimal allocation method considering the grid-connected PV requirements. Firstly, based on the power fluctuation requirements in the PV power station grid-connected regulations, the maximum power point tracking working point switching control is performed for the PV power station, from which the grid-connected PV power and HESS power are obtained. Then, a capacity optimal allocation method and frequency division energy management strategy (EMS) for HESS is proposed to find the energy response and power response of each energy storage source. Furthermore, a multi-objective optimization function with HESS cutoff frequency as the independent variable is constructed, and the input cost of HESS and the life loss of the lithium battery are optimized. Finally, the overall strategy is compared and analyzed under the scenarios of three typical PV power fluctuations. Simulation results show that the control strategy has a good smoothing effect on PV power fluctuations. From the perspective of the annual comprehensive input cost, HESS realizes the optimal capacity allocation when the cutoff frequency is 0.0066 Hz.

Suggested Citation

  • Wei Li & Ruixin Jin & Xiaoyong Ma & Guozun Zhang, 2023. "Capacity Optimal Allocation Method and Frequency Division Energy Management for Hybrid Energy Storage System Considering Grid-Connected Requirements in Photovoltaic System," Energies, MDPI, vol. 16(10), pages 1-16, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:10:p:4154-:d:1149420
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    References listed on IDEAS

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    1. Dong, Haiyan & Fu, Yanbo & Jia, Qingquan & Wen, Xiangyun, 2022. "Optimal dispatch of integrated energy microgrid considering hybrid structured electric-thermal energy storage," Renewable Energy, Elsevier, vol. 199(C), pages 628-639.
    2. Wei Ma & Wei Wang & Xuezhi Wu & Ruonan Hu & Fen Tang & Weige Zhang, 2019. "Control Strategy of a Hybrid Energy Storage System to Smooth Photovoltaic Power Fluctuations Considering Photovoltaic Output Power Curtailment," Sustainability, MDPI, vol. 11(5), pages 1-22, March.
    3. Hou, Hui & Xu, Tao & Wu, Xixiu & Wang, Huan & Tang, Aihong & Chen, Yangyang, 2020. "Optimal capacity configuration of the wind-photovoltaic-storage hybrid power system based on gravity energy storage system," Applied Energy, Elsevier, vol. 271(C).
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    1. Patryk Leda & Weronika Kruszelnicka & Anna Leda & Izabela Piasecka & Zbigniew Kłos & Andrzej Tomporowski & Józef Flizikowski & Marek Opielak, 2023. "Life Cycle Analysis of a Photovoltaic Power Plant Using the CED Method," Energies, MDPI, vol. 16(24), pages 1-19, December.
    2. Junda Huo & Jianwen Huo, 2024. "Hybrid Energy Storage Power Adaptive Optimization Strategy Based on Improved Model Predictive Control and Improved DBO-VMD," Energies, MDPI, vol. 17(13), pages 1-21, July.

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