Distributed Secure Balancing Control for Battery Energy Storage Systems Under Privacy-Preserving Mechanisms

This paper deals with the privacy-preserving-based distributed secure balancing control problem for battery energy storage systems (BESSs) in a microgrid. A novel distributed consensus algorithm is proposed based on the state decomposition strategy and the homomorphic cryptography technique, under which the state-of-charge (SOC) balancing issue is addressed amid potential privacy leak threats. By decomposing the state of the modified SOC for BESSs based on the number of neighboring BESSs, the privacy of each BESS’s state is safeguarded, provided that the BESS has at least one neutral neighboring BESS. Each homologous substate exchanges information directly, and non-homologous substates exchange information using a homomorphic cryptography algorithm. A weighted approach is used to ensure that the sum of the homologous substates aligns with the group decision value, thereby maintaining consistency among these homologous substates. The effectiveness of the proposed method is validated through a series of illustrative simulation experiments.

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Publication Details

Journal
IEEE Transactions on Automation Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tase.2025.3571457
Citations
3
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
3.64

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article

Distributed Secure Balancing Control for Battery Energy Storage Systems Under Privacy-Preserving Mechanisms

Engang Tian, Zhiming Zhao, Licheng Wang
3 citations
IEEE Transactions on Automation Science and Engineering
Microgrid Control and Optimization
3.64
article

Distributed Secure Balancing Control for Battery Energy Storage Systems Under Privacy-Preserving Mechanisms

Engang Tian, Zhiming Zhao, Licheng Wang
article en
3 citations

Abstract

This paper deals with the privacy-preserving-based distributed secure balancing control problem for battery energy storage systems (BESSs) in a microgrid. A novel distributed consensus algorithm is proposed based on the state decomposition strategy and the homomorphic cryptography technique, under which the state-of-charge (SOC) balancing issue is addressed amid potential privacy leak threats. By decomposing the state of the modified SOC for BESSs based on the number of neighboring BESSs, the privacy of each BESS’s state is safeguarded, provided that the BESS has at least one neutral neighboring BESS. Each homologous substate exchanges information directly, and non-homologous substates exchange information using a homomorphic cryptography algorithm. A weighted approach is used to ensure that the sum of the homologous substates aligns with the group decision value, thereby maintaining consistency among these homologous substates. The effectiveness of the proposed method is validated through a series of illustrative simulation experiments.

IEEE Transactions on Automation Science and EngineeringVol. 22
University of Shanghai for Science and Technology (CN), Shanghai University of Electric Power (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 7%
Microgrid Control and Optimization
3.64
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Distributed Secure Balancing Control for Battery Energy Storage Systems Under Privacy-Preserving Mechanisms — Engang Tian, Zhiming Zhao, et al. · IEEE Transactions on Automation Science and Engineering (2025) | TGRS Research Map | TGRS