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Cyber risks of PMU networks with observation errors: Assessment and mitigation

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  • Ding, Weiyong
  • Xu, Maochao
  • Huang, Yu
  • Zhao, Peng

Abstract

The PMU network has been utilized to monitor the system operation of a smart grid in recent decades. This brings a significant cyber risk for the power grid as the attacker can manipulate the PMU network to introduce the false positive and false negative observation errors. A novel risk model is proposed for the PMU networks by considering the observation errors. It is discovered that ignoring the due observation errors can severely underestimate the PMU risks as shown by the theoretical and simulation studies. The risk mitigation strategies for improving the safety levels of PMUs with the observation errors are studied. It is found that the optimal mitigation strategy can be different when the observation errors are present. Numerical examples are presented for illustrations as well.

Suggested Citation

  • Ding, Weiyong & Xu, Maochao & Huang, Yu & Zhao, Peng, 2020. "Cyber risks of PMU networks with observation errors: Assessment and mitigation," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    • Handle: RePEc:eee:reensy:v:198:y:2020:i:c:s0951832019309494
    DOI: 10.1016/j.ress.2020.106873
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    References listed on IDEAS

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    Cited by:

    1. Badrsimaei, Hamed & Hooshmand, Rahmat-Allah & Nobakhtian, Soghra, 2023. "Observable placement of phasor measurement units for defense against data integrity attacks in real time power markets," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    2. Ding, Weiyong & Xu, Maochao & Huang, Yu & Zhao, Peng & Song, Fengyi, 2021. "Cyber attacks on PMU placement in a smart grid: Characterization and optimization," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    3. Diao, Xiaoxu & Zhao, Yunfei & Smidts, Carol & Vaddi, Pavan Kumar & Li, Ruixuan & Lei, Hangtian & Chakhchoukh, Yacine & Johnson, Brian & Blanc, Katya Le, 2024. "Dynamic probabilistic risk assessment for electric grid cybersecurity," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    4. Zhang, Xi & Liu, Dong & Tu, Haicheng & Tse, Chi Kong, 2022. "An integrated modeling framework for cascading failure study and robustness assessment of cyber-coupled power grids," Reliability Engineering and System Safety, Elsevier, vol. 226(C).

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