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

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Listed:
  • Kong, Xiangxing
  • Lu, Zhigang
  • Li, Yanlin
  • Guo, Xiaoqiang
  • Zhang, Jiangfeng
  • Ding, Shixing

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.

Suggested Citation

  • Kong, Xiangxing & Lu, Zhigang & Li, Yanlin & Guo, Xiaoqiang & Zhang, Jiangfeng & Ding, Shixing, 2025. "Resilience-oriented defense strategy for power systems against uncertain malicious coordinated attacks," Applied Energy, Elsevier, vol. 378(PA).
    • Handle: RePEc:eee:appene:v:378:y:2025:i:pa:s0306261924021688
    DOI: 10.1016/j.apenergy.2024.124785
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    References listed on IDEAS

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    1. Ding, Tao & Yao, Li & Li, Fangxing, 2018. "A multi-uncertainty-set based two-stage robust optimization to defender–attacker–defender model for power system protection," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 179-186.
    2. Qin, Chao & Zhong, Chongyu & Sun, Bing & Jin, Xiaolong & Zeng, Yuan, 2023. "A tri-level optimal defense method against coordinated cyber-physical attacks considering full substation topology," Applied Energy, Elsevier, vol. 339(C).
    3. Jing, Xiang & Qin, Wenping & Yao, Hongmin & Han, Xiaoqing & Wang, Peng, 2024. "Resilience-oriented planning strategy for the cyber-physical ADN under malicious attacks," Applied Energy, Elsevier, vol. 353(PA).
    4. Lai, Kexing & Illindala, Mahesh & Subramaniam, Karthikeyan, 2019. "A tri-level optimization model to mitigate coordinated attacks on electric power systems in a cyber-physical environment," Applied Energy, Elsevier, vol. 235(C), pages 204-218.
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    6. Zhao, Yirui & Li, Yong & Cao, Yijia & Yan, Mingyu, 2023. "Risk-based contingency analysis for power systems considering a combination of different types of cyber-attacks," Applied Energy, Elsevier, vol. 348(C).
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