Multi-Agent Based SOC Equalization Control Strategy for Distributed Battery Energy Storage System

In the battery energy management system, it is important to maintain the consistency of state of charge (SOC). In this paper, a multi-agent based SOC equalization control strategy is proposed for power regulation in distributed battery energy storage system (BESS). Each agent is independently controlled and only exchanges data with neighboring agents, which greatly reducing computation and improving the fault tolerance and scalability. To improve the efficiency of SOC equalization, an optimization method considering energy loss and equalization time is presented. Simulation results show that the multi-agent based SOC equalization control strategy proposed in this paper can reduce the energy loss and equalization time, and effectively cope with some system failures.

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Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10864613
Citations
1
Primary Topic
Power Systems and Renewable Energy
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article
Field-Weighted Citation Impact
0.17
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article

Multi-Agent Based SOC Equalization Control Strategy for Distributed Battery Energy Storage System

Rui Ling, Shu Liu
1 citations
Power Systems and Renewable Energy
0.17
article

Multi-Agent Based SOC Equalization Control Strategy for Distributed Battery Energy Storage System

Rui Ling, Shu Liu
article en
1 citations

Abstract

In the battery energy management system, it is important to maintain the consistency of state of charge (SOC). In this paper, a multi-agent based SOC equalization control strategy is proposed for power regulation in distributed battery energy storage system (BESS). Each agent is independently controlled and only exchanges data with neighboring agents, which greatly reducing computation and improving the fault tolerance and scalability. To improve the efficiency of SOC equalization, an optimization method considering energy loss and equalization time is presented. Simulation results show that the multi-agent based SOC equalization control strategy proposed in this paper can reduce the energy loss and equalization time, and effectively cope with some system failures.

Chongqing University (CN)
Affordable and clean energy
Openalex Percentile: Top 40%
Power Systems and Renewable Energy
0.17
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