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Distributed Coordinated Control Strategy for Grid-Forming-Type Hybrid Energy Storage Systems

Author

Listed:
  • Guangdi Li

    (College of Information Science and Engineering, Northeastern University, Shenyang 110819, China)

  • Yaodong Zhang

    (College of Information Science and Engineering, Northeastern University, Shenyang 110819, China)

  • Yuening Shi

    (College of Information Science and Engineering, Northeastern University, Shenyang 110819, China)

  • Zicheng Wang

    (College of Information Science and Engineering, Northeastern University, Shenyang 110819, China)

  • Bowen Zhou

    (College of Information Science and Engineering, Northeastern University, Shenyang 110819, China)

Abstract

Existing hybrid energy storage control methods typically allocate power between different energy storage types by controlling DC/DC converters on the DC bus. Due to its dependence on the DC bus, this method is typically limited to centralized energy storage and is challenging to apply in enhancing the operation of distributed energy storage. To address this issue, this paper proposes a distributed hybrid energy storage control strategy based on grid-forming converters. By flexibly utilizing Virtual Synchronous Generator (VSG) control and virtual impedance control, the power distribution capability of the grid-forming converter is enhanced to meet the needs of hybrid energy storage. At the same time, a strategy based on multi-agent theory is employed to enable multiple distributed energy storage sources to collaboratively achieve hybrid energy storage. This strategy can be directly applied to energy storage systems connected to the AC grid, facilitating more efficient utilization of renewable energy. It also enhances the reliability of distributed energy storage systems, contributing to sustainable development goals. Furthermore, leveraging multi-agent theory, it offers advantages such as low communication overhead and high flexibility. Hardware-in-the-loop (HIL) simulation experiments have validated the effectiveness of this strategy.

Suggested Citation

  • Guangdi Li & Yaodong Zhang & Yuening Shi & Zicheng Wang & Bowen Zhou, 2025. "Distributed Coordinated Control Strategy for Grid-Forming-Type Hybrid Energy Storage Systems," Sustainability, MDPI, vol. 17(4), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:4:p:1436-:d:1587572
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    References listed on IDEAS

    as
    1. Fengyan Yi & Dagang Lu & Xingmao Wang & Chaofeng Pan & Yuanxue Tao & Jiaming Zhou & Changli Zhao, 2022. "Energy Management Strategy for Hybrid Energy Storage Electric Vehicles Based on Pontryagin’s Minimum Principle Considering Battery Degradation," Sustainability, MDPI, vol. 14(3), pages 1-17, January.
    2. Yuxian Li & Jiuhe Wang, 2023. "A Simulation-Based Study on the Optimal Pricing Strategy of Supply Chain System," Sustainability, MDPI, vol. 15(14), pages 1-16, July.
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