Demand-Driven Resilient Control for Generation Unit of Local Power Plant Under Unreliable Communication

Guizhou Cao, Dawei Xia, Bokang Liu, Kai Meng, Zhenlong Wu and Yuan-Cheng Sun ()
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Guizhou Cao: State Grid Henan Electric Power Research Institute, Zhengzhou 450052, China
Dawei Xia: State Grid Henan Electric Power Research Institute, Zhengzhou 450052, China
Bokang Liu: Henan Electric Power Dispatching and Control Center, Zhengzhou 450001, China
Kai Meng: Shangqiu Power Supply Company, State Grid Henan Electric Power Company, Shangqiu 476002, China
Zhenlong Wu: School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
Yuan-Cheng Sun: School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China

Energies, 2025, vol. 18, issue 2, 1-18

Abstract: The resilient control issue for the generation unit (GU) in a local power plant with unreliable communication is addressed in this article, where the communication may be jammed by denial-of-service (DoS) attacks. Based on the GU model of voltage and current at the point of common coupling, a demand-driven network communication protocol is proposed to decrease the number of scheduling signal transmissions, and an observer-based prediction method is provided to replenish the lack of dispatching data during transmission intervals when the demand has not changed. The closed-loop performance is analyzed for the GU system in the input-to-state stable framework with or without attack. According to the DoS attack model, which is described by the assumptions of frequency and duration, the conservativeness of the tolerable DoS attack index is reduced by using the thought of robustness to the maximum disturbance-induced error. Simulation examples are provided to verify the effectiveness of the approach proposed in this article.

Keywords: generation unit system; resilient control; network communication; denial-of-service attack; stability analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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