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Cyber attack estimation and detection for cyber-physical power systems

Author

Listed:
  • Li, Lei
  • Wang, Wenting
  • Ma, Qiang
  • Pan, Kunpeng
  • Liu, Xin
  • Lin, Lin
  • Li, Jian

Abstract

This paper mainly studies the problem of cyber attack estimation and detection in cyber-physical power systems (CPPS). Firstly, CPPS under cyber state attack and sensor attack are modeled through system characteristics. Secondly, to achieve attack estimation, two robust observers are designed for the CPPS under state attack and sensor attack respectively, which can guarantee the error systems are asymptotically stable with a prescribed H∞ performance. Next, to achieve attack detection, attack detection logic is introduced by comparing the threshold with the estimated attack. Finally, in order to show the feasibility of the state attack and sensor attack detection, taking power systems with three generators and six buses as an example, the simulation results are given.

Suggested Citation

  • Li, Lei & Wang, Wenting & Ma, Qiang & Pan, Kunpeng & Liu, Xin & Lin, Lin & Li, Jian, 2021. "Cyber attack estimation and detection for cyber-physical power systems," Applied Mathematics and Computation, Elsevier, vol. 400(C).
    • Handle: RePEc:eee:apmaco:v:400:y:2021:i:c:s0096300321001041
    DOI: 10.1016/j.amc.2021.126056
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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. Giani, Annarita & Bent, Russell & Pan, Feng, 2014. "Phasor measurement unit selection for unobservable electric power data integrity attack detection," International Journal of Critical Infrastructure Protection, Elsevier, vol. 7(3), pages 155-164.
    4. 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).
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    Cited by:

    1. Oliveira, Pedro M. & Palma, Jonathan M. & Lacerda, Márcio J., 2022. "H2 state-feedback control for discrete-time cyber-physical uncertain systems under DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 425(C).

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