Supervised Restart-Based Cybersecurity Defense Strategy for Power Systems

doi:10.3969/j.issn.1671-1122.2025.06.006

Abstract

Abstract:

With the digital development of power systems, the monitoring and data acquisition networks in power systems bring network security risks. This paper study focused on the construction of an active defense strategy under denial-of-service (DoS) attacks in vehicle-to-grid power systems. Firstly, a load-frequency control strategy was constructed for the power system, and a dynamic event triggering scheme design was introduced to optimize the communication efficiency in order to reduce the network bandwidth consumption. Besieds, a supervised restart controller algorithm was proposed, which monitored the controller response in real time, and triggered the controller to restart dynamically when an abnormality was detected. Further, by constructing appropriate Lyapunov-Krasovskii functionals, the exponential stability criterion of the system under DoS attacks was derived, which provided a quantitative basis for the parameter design of the defense strategy. Finally, the effectiveness of the proposed scheme is verified by simulation experiment.

Key words: vehicle-to-grid power system, load frequency control, DoS attacks, Lyapunov functional, cybersecurity defense strategy

CLC Number:

TP309

SHI Kaibo, DING Jia, WANG Jun, CAI Xiao. Supervised Restart-Based Cybersecurity Defense Strategy for Power Systems[J]. Netinfo Security, 2025, 25(6): 910-919.

Figures/Tables 8

References 17

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