Stability Analysis of Multiple Grid-Connected Battery Energy Storage Systems With a Distributed Cooperative Control

Battery energy storage system (BESS) plays a crucial role in the integration of renewable energy by balancing supply and demand, providing frequency regulation, and supporting voltage stability. However, for multiple grid-connected BESS systems, traditional power control methods, which focus on the dynamics of individual BESS, often neglect the interactions between BESSs. It results in idle power capacity and slow response times during transient events. To address these issues, a distributed cooperative control strategy based on a consensus algorithm has been proposed to improve the overall system's response speed and ensure steady-state power sharing according to the state of charge (SOC). However, few researchers have conducted the stability analysis of multiple BESSs under the distributed control scheme, and the interaction has not been thoroughly investigated. This paper addresses this gap by developing an impedance model for multiple BESSs by incorporating a secondary control layer. The modeling accuracy is validated through EMT simulations. Using Nyquist stability criterion, the paper compares the stability of BESSs with distributed cooperative control to traditional power control methods, demonstrating the advantages of the proposed approach. Additionally, the impact of cooperative control parameters and communication faults on system stability is analyzed. The time-domain simulations confirm the accuracy of the stability analysis.

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Publication Details

Journal
IEEE Transactions on Industry Applications
Published
2025-08-28
DOI
https://doi.org/10.1109/tia.2025.3603754
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Stability Analysis of Multiple Grid-Connected Battery Energy Storage Systems With a Distributed Cooperative Control

Yuntao Chen, Wentian Li, Xianxian Zhao, Yin Chen et al.
IEEE Transactions on Industry Applications
Microgrid Control and Optimization
article

Stability Analysis of Multiple Grid-Connected Battery Energy Storage Systems With a Distributed Cooperative Control

Yuntao Chen, Wentian Li, Xianxian Zhao, Yin Chen, Xia Chen
article en

Abstract

Battery energy storage system (BESS) plays a crucial role in the integration of renewable energy by balancing supply and demand, providing frequency regulation, and supporting voltage stability. However, for multiple grid-connected BESS systems, traditional power control methods, which focus on the dynamics of individual BESS, often neglect the interactions between BESSs. It results in idle power capacity and slow response times during transient events. To address these issues, a distributed cooperative control strategy based on a consensus algorithm has been proposed to improve the overall system's response speed and ensure steady-state power sharing according to the state of charge (SOC). However, few researchers have conducted the stability analysis of multiple BESSs under the distributed control scheme, and the interaction has not been thoroughly investigated. This paper addresses this gap by developing an impedance model for multiple BESSs by incorporating a secondary control layer. The modeling accuracy is validated through EMT simulations. Using Nyquist stability criterion, the paper compares the stability of BESSs with distributed cooperative control to traditional power control methods, demonstrating the advantages of the proposed approach. Additionally, the impact of cooperative control parameters and communication faults on system stability is analyzed. The time-domain simulations confirm the accuracy of the stability analysis.

IEEE Transactions on Industry ApplicationsVol. 62(2)
University College Dublin (IE), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 73%
Microgrid Control and Optimization
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Stability Analysis of Multiple Grid-Connected Battery Energy Storage Systems With a Distributed Cooperative Control — Yuntao Chen, Wentian Li, et al. · IEEE Transactions on Industry Applications (2025) | TGRS Research Map | TGRS