Secure Decentralized Event-Triggered Load Frequency Control Design for Multiarea Power Systems Under Multiple DoS Attacks

This article deals with the load frequency control problem of multiarea power systems subject to multiple intermittent denial-of-service (DoS) attacks that can interrupt the data transmission of each area independently. A decentralized event-triggering (ET) scheme under periodic sampling is proposed to reduce the transmission burden. Then, a decentralized ET-based controller is designed by tuning several parameters. Such control scheme can reduce the computational complexity while achieving privacy preserving. Moreover, sufficient conditions are derived for ensuring the input-to-state stability of multiarea power systems and an optimization solution method via particle swarm algorithm is provided. Finally, a three-area power system is employed to verify the effectiveness of the proposed scheme.

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Publication Details

Journal
IEEE Transactions on Cybernetics
Published
2024-09-17
DOI
https://doi.org/10.1109/tcyb.2024.3454053
Citations
19
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
6.24
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article

Secure Decentralized Event-Triggered Load Frequency Control Design for Multiarea Power Systems Under Multiple DoS Attacks

James Lam, Yugang Niu, Kun Xu
19 citations
IEEE Transactions on Cybernetics
Smart Grid Security and Resilience
6.24
article

Secure Decentralized Event-Triggered Load Frequency Control Design for Multiarea Power Systems Under Multiple DoS Attacks

James Lam, Yugang Niu, Kun Xu
article en
19 citations

Abstract

This article deals with the load frequency control problem of multiarea power systems subject to multiple intermittent denial-of-service (DoS) attacks that can interrupt the data transmission of each area independently. A decentralized event-triggering (ET) scheme under periodic sampling is proposed to reduce the transmission burden. Then, a decentralized ET-based controller is designed by tuning several parameters. Such control scheme can reduce the computational complexity while achieving privacy preserving. Moreover, sufficient conditions are derived for ensuring the input-to-state stability of multiarea power systems and an optimization solution method via particle swarm algorithm is provided. Finally, a three-area power system is employed to verify the effectiveness of the proposed scheme.

IEEE Transactions on CyberneticsVol. 54(11)
East China University of Science and Technology (CN), University of Hong Kong (HK)
Affordable and clean energy
Openalex Percentile: Top 3%
Smart Grid Security and Resilience
6.24
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