Distributed Event-Triggered Control for Current Sharing and Voltage Restoration in Microgrids Under Denial-of-Service Attacks

The physical information system model improves the control accuracy of microgrids (MGs). However, it remains susceptible to denial-of-service (DoS) attacks targeting distributed generators (DGs), which may lead to control failures. This paper presents a distributed event-triggered control mechanism designed to mitigate the impact of DoS attacks while ensuring accurate current sharing and voltage restoration. The proposed approach enhances system resilience and reduces communication frequency. Using Lyapunov stability theory, we establish that the system maintains asymptotic stability under DoS attack conditions. Finally, simulation experiments conducted in the Matlab/Simulink environment validate the effectiveness of the proposed method.

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Publication Details

Published
2025-04-11
DOI
https://doi.org/10.1109/icmtim65484.2025.11041084
Primary Topic
Smart Grid Security and Resilience
Type
article
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article

Distributed Event-Triggered Control for Current Sharing and Voltage Restoration in Microgrids Under Denial-of-Service Attacks

Shaobin Chen, Wenchao Huang, Jian Liu
Smart Grid Security and Resilience
article

Distributed Event-Triggered Control for Current Sharing and Voltage Restoration in Microgrids Under Denial-of-Service Attacks

Shaobin Chen, Wenchao Huang, Jian Liu
article en

Abstract

The physical information system model improves the control accuracy of microgrids (MGs). However, it remains susceptible to denial-of-service (DoS) attacks targeting distributed generators (DGs), which may lead to control failures. This paper presents a distributed event-triggered control mechanism designed to mitigate the impact of DoS attacks while ensuring accurate current sharing and voltage restoration. The proposed approach enhances system resilience and reduces communication frequency. Using Lyapunov stability theory, we establish that the system maintains asymptotic stability under DoS attack conditions. Finally, simulation experiments conducted in the Matlab/Simulink environment validate the effectiveness of the proposed method.

Fuzhou University (CN)
Openalex Percentile: Top 83%
Smart Grid Security and Resilience
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