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An Overview of Solar Photovoltaic Power Smoothing Control Strategies Based on Energy Storage Technology

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  • Mingxuan Mao

    (School of Automation, Wuxi University, Wuxi 214105, China)

  • Yuhao Tang

    (School of Automation, Wuxi University, Wuxi 214105, China
    School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Jiahan Chen

    (Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China)

  • Fuping Ma

    (Chengdu Power Supply Company, State Grid Sichuan Electric Power Company, Chengdu 610041, China
    School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Ziran Li

    (School of Automation, Wuxi University, Wuxi 214105, China)

  • Hongyu Ma

    (School of Automation, Wuxi University, Wuxi 214105, China)

  • Haojin Sun

    (School of Automation, Wuxi University, Wuxi 214105, China)

  • Chengqi Yin

    (School of Automation, Wuxi University, Wuxi 214105, China)

  • Huanxin Li

    (Physical and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, Oxford OX1 3QZ, UK)

Abstract

Countries around the world are actively promoting the low-carbon transformation of the energy system, and renewable energy represented by solar photovoltaic (PV) power generation will occupy a greater proportion of the power system. The power of PV power generation is characterized by randomness and volatility, so an energy storage system (ESS) is needed for smooth control of fluctuating power to improve the quality of electric energy and the stability of the system. First of all, through the comparative analysis of various energy storage technologies, this paper finds that the battery-supercapacitor hybrid energy storage system (HESS) has both steady-state and dynamic response capabilities. Secondly, the power smoothing control strategy comprises centralized control strategies and distributed control strategies, corresponding control algorithms based on filter and optimization, and droop control strategy, respectively. This paper introduces them in turn and analyzes their advantages and disadvantages. Finally, according to the characteristics of the two control strategies, the analysis of the applicable scenarios is given, and it can guide future applications.

Suggested Citation

  • Mingxuan Mao & Yuhao Tang & Jiahan Chen & Fuping Ma & Ziran Li & Hongyu Ma & Haojin Sun & Chengqi Yin & Huanxin Li, 2025. "An Overview of Solar Photovoltaic Power Smoothing Control Strategies Based on Energy Storage Technology," Energies, MDPI, vol. 18(4), pages 1-24, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:4:p:909-:d:1590502
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    References listed on IDEAS

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