Resilience-oriented defense strategy for power systems against uncertain malicious coordinated attacks

Xiangxing Kong, Zhigang Lu, Yanlin Li, Xiaoqiang Guo, Jiangfeng Zhang and Shixing Ding

Applied Energy, 2025, vol. 378, issue PA, No S0306261924021688

Abstract: The development of cyber-physical power system (CPPS) will provide potential solutions for the high efficiency and intelligent requirements of traditional power systems. However, the uncertainty of malicious attacks brings a great threat to the normal operation of the CPPS. In order to enhance the resilience of CPPS against uncertain malicious coordinated attacks, a resilience-oriented defense strategy is proposed considering attack scenario uncertainties. Firstly, an uncertain coordinated attack strategy against generation units and transmission lines is constructed based on dynamic N-k breaking scheme to describe a more harmful attack mechanism against power systems. Secondly, considering the uncertain malicious coordinated attacks, a tri-level defense model is proposed in the framework of defender-attacker-defender. Finally, the proposed model is transformed into mixed integer linear programming model by using duality theory, and a constraint-generation and benders-cut (CG&BC) algorithm is developed to solve the defense model. The model is simulated and verified on the IEEE RTS-79 test system, and the results fully validate the effectiveness of the model and solution algorithm, and show that the resilience-oriented defense strategy can effectively reduce the total expected cost of power systems against uncertain malicious coordinated attacks.

Keywords: Cyber-physical power system; Uncertain malicious coordinated attacks; Resilience-oriented defense strategy; Defense resource budget; CG&BC algorithm (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.apenergy.2024.124785

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