SOC Balancing Control Based on Multi-Agent for Multiple Energy Storage Units in MMC High Power Energy Storage System
Regular Papers|更新时间:2026-10-15
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SOC Balancing Control Based on Multi-Agent for Multiple Energy Storage Units in MMC High Power Energy Storage System
CSEE Journal of Power and Energy SystemsVol. 11, Issue 3, Pages: 1253-1261(2025)
作者机构:
1. College of Information Science and Engineering, Northeastern University,Shenyang,China
2. Energy Storage and Electrical Engineering Department, State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems, China Electric Power Research Institute,Beijing,China
Shijie Yan, Qianxiang Shen, Xiangjun Li, et al. SOC Balancing Control Based on Multi-Agent for Multiple Energy Storage Units in MMC High Power Energy Storage System[J]. CSEE Journal of Power and Energy Systems, 2025, 11(3): 1253-1261.
DOI:
Shijie Yan, Qianxiang Shen, Xiangjun Li, et al. SOC Balancing Control Based on Multi-Agent for Multiple Energy Storage Units in MMC High Power Energy Storage System[J]. CSEE Journal of Power and Energy Systems, 2025, 11(3): 1253-1261.DOI: 10.17775/CSEEJPES.2021.08350.
SOC Balancing Control Based on Multi-Agent for Multiple Energy Storage Units in MMC High Power Energy Storage System
摘要
Abstract
Since high power energy transmission is required for a grid-level energy storage system
a high-power energy storage system based on modular multilevel converter (MMC) is very promising at present. However
in order to produce desired high power
an MMC-based energy storage system needs to be constructed by cascading a large number of energy storage units
which will make it difficult to balance state of charge (SOC) of these units. To solve SOC unbalancing of these units
special modeling and control methods are employed and an SOC balancing controller is designed. First
a high-power energy storage system is modeled as a multi-agent model. Then
an event-trigger control method is used to control information transmission and operation period of the energy storage agent
which further reduces the amount of communication and computation. Moreover
observers are designed to estimate battery current
which can reduce in half the amount of status information that needs to be collected. Finally
the simulation platform of the MMC-based storage system is established with MATLAB
the proposed SOC balancing control method is simulated and its validity is verified.