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Voltage Regulation Strategies in Photovoltaic-Energy Storage System Distribution Network: A Review

Author

Listed:
  • Qianwen Dong

    (College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Xingyuan Song

    (School of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Chunyang Gong

    (College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Chenchen Hu

    (College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Junfeng Rui

    (Lithos New Energy Group Company Limited, Shanghai 201615, China)

  • Tingting Wang

    (Shanghai Institute of Quality Inspection and Technical Research, Shanghai 201114, China)

  • Ziyang Xia

    (Nantong Legend Energy Co., Ltd., Nantong 226000, China)

  • Zhixin Wang

    (College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
    School of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

With the increasing penetration of distributed photovoltaic-energy storage system (PV-ESS) access distribution networks, the safe and stable operation of the system has brought a huge impact, in which the voltage regulation of PV-ESS distribution networks is more prominent. This paper comprehensively reviews the voltage over-run mechanism in the PV-ESS distribution network and combs through the current mainstream voltage regulation strategies, of which two strategies of direct voltage regulation and current optimization are summarized. At the same time, this paper discusses the advantages and limitations of centralized, distributed, multi-timescale, voltage-reactive joint optimization and other regulation methods and focuses on the analysis of heuristic algorithms and algorithms based on deep reinforcement learning in the voltage regulation of the relevant research progress. Finally, this paper points out the main challenges currently facing voltage regulation in PV-ESS distribution networks, including cluster dynamic partitioning technologies, multi-timescale control of hybrid voltage regulation devices, and synergistic problems of demand-side resources, such as electric vehicle participation in voltage regulation, etc., and gives an outlook on future research directions. The aim of this paper is to provide a theoretical basis and practical guidance for voltage regulation of PV-ESS distribution networks and to promote the intelligent construction and sustainable development of power grids.

Suggested Citation

  • Qianwen Dong & Xingyuan Song & Chunyang Gong & Chenchen Hu & Junfeng Rui & Tingting Wang & Ziyang Xia & Zhixin Wang, 2025. "Voltage Regulation Strategies in Photovoltaic-Energy Storage System Distribution Network: A Review," Energies, MDPI, vol. 18(11), pages 1-25, May.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:11:p:2740-:d:1663908
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    References listed on IDEAS

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    1. Shu Qiu & Yujia Deng & Miao Ding & Wenzhen Han, 2024. "An Optimal Scheduling Method for Distribution Network Clusters Considering Source–Load–Storage Synergy," Sustainability, MDPI, vol. 16(15), pages 1-19, July.
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    3. Zhang, Xiao & Wu, Zhi & Sun, Qirun & Gu, Wei & Zheng, Shu & Zhao, Jingtao, 2024. "Application and progress of artificial intelligence technology in the field of distribution network voltage Control：A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    4. Jude Suchithra & Amin Rajabi & Duane A. Robinson, 2024. "Enhancing PV Hosting Capacity of Electricity Distribution Networks Using Deep Reinforcement Learning-Based Coordinated Voltage Control," Energies, MDPI, vol. 17(20), pages 1-27, October.
    5. Zhao, Bo & Zhang, Xuesong & Li, Peng & Wang, Ke & Xue, Meidong & Wang, Caisheng, 2014. "Optimal sizing, operating strategy and operational experience of a stand-alone microgrid on Dongfushan Island," Applied Energy, Elsevier, vol. 113(C), pages 1656-1666.
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    Cited by:

    1. Qihui Feng & Meng Zhang & Yutao Xu & Chao Zhang & Dunhui Chen & Xufeng Yuan, 2025. "A Multi-Vector Modulated Model Predictive Control Based on Coordinated Control Strategy of a Photovoltaic-Storage Three-Port DC–DC Converter," Energies, MDPI, vol. 18(12), pages 1-19, June.

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