IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i11p2740-d1663908.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/11/2740/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/11/2740/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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).
    2. 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.
    3. 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.
    4. 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.
    5. Daiva Stanelyte & Virginijus Radziukynas, 2019. "Review of Voltage and Reactive Power Control Algorithms in Electrical Distribution Networks," Energies, MDPI, vol. 13(1), pages 1-26, December.
    6. Ezequiel C. Pereira & Carlos H. N. R. Barbosa & João A. Vasconcelos, 2023. "Distribution Network Reconfiguration Using Iterative Branch Exchange and Clustering Technique," Energies, MDPI, vol. 16(5), pages 1-20, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kim, Sunwoo & Choi, Yechan & Park, Joungho & Adams, Derrick & Heo, Seongmin & Lee, Jay H., 2024. "Multi-period, multi-timescale stochastic optimization model for simultaneous capacity investment and energy management decisions for hybrid Micro-Grids with green hydrogen production under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 190(PA).
    2. Vincenzo Franzitta & Domenico Curto & Davide Rao, 2016. "Energetic Sustainability Using Renewable Energies in the Mediterranean Sea," Sustainability, MDPI, vol. 8(11), pages 1-16, November.
    3. Feras Alasali & Mohammad Salameh & Ali Semrin & Khaled Nusair & Naser El-Naily & William Holderbaum, 2022. "Optimal Controllers and Configurations of 100% PV and Energy Storage Systems for a Microgrid: The Case Study of a Small Town in Jordan," Sustainability, MDPI, vol. 14(13), pages 1-20, July.
    4. Vojtech Blazek & Michal Petruzela & Tomas Vantuch & Zdenek Slanina & Stanislav Mišák & Wojciech Walendziuk, 2020. "The Estimation of the Influence of Household Appliances on the Power Quality in a Microgrid System," Energies, MDPI, vol. 13(17), pages 1-21, August.
    5. Lan, Hai & Wen, Shuli & Hong, Ying-Yi & Yu, David C. & Zhang, Lijun, 2015. "Optimal sizing of hybrid PV/diesel/battery in ship power system," Applied Energy, Elsevier, vol. 158(C), pages 26-34.
    6. Sun, Wei & Harrison, Gareth P., 2019. "Wind-solar complementarity and effective use of distribution network capacity," Applied Energy, Elsevier, vol. 247(C), pages 89-101.
    7. Hossein Lotfi & Mohammad Ebrahim Hajiabadi & Hossein Parsadust, 2024. "Power Distribution Network Reconfiguration Techniques: A Thorough Review," Sustainability, MDPI, vol. 16(23), pages 1-33, November.
    8. Wen, Shuli & Lan, Hai & Hong, Ying-Yi & Yu, David C. & Zhang, Lijun & Cheng, Peng, 2016. "Allocation of ESS by interval optimization method considering impact of ship swinging on hybrid PV/diesel ship power system," Applied Energy, Elsevier, vol. 175(C), pages 158-167.
    9. Md Tariqul Islam & M. Jahangir Hossain & Md. Ahasan Habib & Muhammad Ahsan Zamee, 2025. "Adaptive Hosting Capacity Forecasting in Distribution Networks with Distributed Energy Resources," Energies, MDPI, vol. 18(2), pages 1-25, January.
    10. Zhao, Bo & Xue, Meidong & Zhang, Xuesong & Wang, Caisheng & Zhao, Junhui, 2015. "An MAS based energy management system for a stand-alone microgrid at high altitude," Applied Energy, Elsevier, vol. 143(C), pages 251-261.
    11. Mazzola, Simone & Astolfi, Marco & Macchi, Ennio, 2015. "A detailed model for the optimal management of a multigood microgrid," Applied Energy, Elsevier, vol. 154(C), pages 862-873.
    12. Hua Zhan & Changxu Jiang & Zhen Lin, 2024. "A Novel Graph Reinforcement Learning-Based Approach for Dynamic Reconfiguration of Active Distribution Networks with Integrated Renewable Energy," Energies, MDPI, vol. 17(24), pages 1-19, December.
    13. Mohamed Els. S. Abdelwareth & Dedet Candra Riawan & Chow Chompoo-inwai, 2023. "Optimum Generated Power for a Hybrid DG/PV/Battery Radial Network Using Meta-Heuristic Algorithms Based DG Allocation," Sustainability, MDPI, vol. 15(13), pages 1-25, July.
    14. Obara, Shin'ya & Morel Rios, Jorge Ricardo & Okada, Masaki, 2015. "Control of cyclic fluctuations in solid oxide fuel cell cogeneration accompanied by photovoltaics," Energy, Elsevier, vol. 91(C), pages 994-1008.
    15. Petrelli, Marina & Fioriti, Davide & Berizzi, Alberto & Bovo, Cristian & Poli, Davide, 2021. "A novel multi-objective method with online Pareto pruning for multi-year optimization of rural microgrids," Applied Energy, Elsevier, vol. 299(C).
    16. Syed Ali Abbas Kazmi & Muhammad Khuram Shahzad & Akif Zia Khan & Dong Ryeol Shin, 2017. "Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective," Energies, MDPI, vol. 10(4), pages 1-47, April.
    17. Neto, Pedro Bezerra Leite & Saavedra, Osvaldo R. & Oliveira, Denisson Q., 2020. "The effect of complementarity between solar, wind and tidal energy in isolated hybrid microgrids," Renewable Energy, Elsevier, vol. 147(P1), pages 339-355.
    18. Park, Jiseon & Yang, Won & Jung, Sooho & Lee, Hyeongseok & Hong, Jongsup & Lee, Yongwoon & Kim, Seongil, 2024. "Assessment of energy self-sufficiency of a smart farm through integrated modeling of air-source heat pumps and solar power generation," Applied Energy, Elsevier, vol. 367(C).
    19. Velik, Rosemarie & Nicolay, Pascal, 2014. "Grid-price-dependent energy management in microgrids using a modified simulated annealing triple-optimizer," Applied Energy, Elsevier, vol. 130(C), pages 384-395.
    20. William López-Castrillón & Héctor H. Sepúlveda & Cristian Mattar, 2021. "Off-Grid Hybrid Electrical Generation Systems in Remote Communities: Trends and Characteristics in Sustainability Solutions," Sustainability, MDPI, vol. 13(11), pages 1-29, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:11:p:2740-:d:1663908. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.