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Cyber-attacks against cyber-physical power systems security: State estimation, attacks reconstruction and defense strategy

Author

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  • Su, Qingyu
  • Wang, Handong
  • Sun, Chaowei
  • Li, Bo
  • Li, Jian

Abstract

In modern power systems, the connection between cyber part and physical part is more and more close and deeply coupled, while cyber-physical power systems (CPPS) can exactly describe the dynamic process of modern power grids. The problem of secure state estimation and attack reconstruction of cyber-attacks corrupting states of CPPS is addressed. First, the classical small signal model of CPPS under disturbance and cyber-attacks is established. Then, an intermediate observer is proposed to realize the security state estimation and state attack reconstruction of CPPS under cyber-attacks, meanwhile, the linear matrix inequality (LMI) is used to solve the parameters of the intermediate observer. Finally, an attack defense strategy satisfying optimal economic dispatch is proposed. Case studies are presented to assess the effectiveness of intermediate observer reconstruction and the effectiveness of defense strategy.

Suggested Citation

  • Su, Qingyu & Wang, Handong & Sun, Chaowei & Li, Bo & Li, Jian, 2022. "Cyber-attacks against cyber-physical power systems security: State estimation, attacks reconstruction and defense strategy," Applied Mathematics and Computation, Elsevier, vol. 413(C).
    • Handle: RePEc:eee:apmaco:v:413:y:2022:i:c:s0096300321007232
    DOI: 10.1016/j.amc.2021.126639
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    References listed on IDEAS

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    1. Liu, Cheng-Qian & Li, Xiao-Jian & Long, Yue & Sun, Jie, 2020. "Output feedback secure control for cyber-physical systems against sparse sensor attacks," Applied Mathematics and Computation, Elsevier, vol. 384(C).
    2. Feng, Zongying & Shao, Hanyong & Shao, Lin, 2020. "Further results on event-triggered H∞ networked control for neural networks with stochastic cyber-attacks," Applied Mathematics and Computation, Elsevier, vol. 386(C).
    3. Huang, Xin & Dong, Jiuxiang, 2020. "A Robust Dynamic Compensation Approach for Cyber-Physical Systems Against Multiple Types of Actuator Attacks," Applied Mathematics and Computation, Elsevier, vol. 380(C).
    4. Yueqiao Han & Yonggui Kao & Cunchen Gao & Baoping Jiang, 2017. "Robust sliding mode control for uncertain discrete singular systems with time-varying delays," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(4), pages 818-827, March.
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    Cited by:

    1. Li, Shenshen & Du, Haibo & Chen, Weile & Zhu, Wenwu, 2024. "Design of non-smooth consensus protocol for multi-agent systems under DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 463(C).
    2. Ding, Xiao & Wang, Huan & Zhang, Xi & Ma, Chuang & Zhang, Hai-Feng, 2024. "Dual nature of cyber–physical power systems and the mitigation strategies," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    3. Su, Qingyu & Chen, Cong & Huang, Xin & Li, Jian, 2022. "Interval TrendRank method for grid node importance assessment considering new energy," Applied Energy, Elsevier, vol. 324(C).
    4. Gu, Yang & Sun, Zhenxing & Li, Li-Wei & Park, Ju H. & Shen, Mouquan, 2022. "Event-triggered security adaptive control of uncertain multi-area power systems with cyber attacks," Applied Mathematics and Computation, Elsevier, vol. 432(C).
    5. Li, Bo & Li, Xu & Su, Qingyu, 2022. "A system and game strategy for the isolated island electric-gas deeply coupled energy network," Applied Energy, Elsevier, vol. 306(PA).

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