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Supporting Sustainable Maintenance of Substations under Cyber-Threats: An Evaluation Method of Cybersecurity Risk for Power CPS

Author

Listed:
  • Youping Fan

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Jingjiao Li

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Dai Zhang

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Jie Pi

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Jiahan Song

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Guo Zhao

    (School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China)

Abstract

In the increasingly complex cyber-environment, appropriate sustainable maintenance of substation auto systems (SASs) can lead to many positive effects on power cyber-physical systems (CPSs). Evaluating the cybersecurity risk of power CPSs is the first step in creating sustainable maintenance plans for SASs. In this paper, a mathematical framework for evaluating the cybersecurity risk of a power CPS is proposed considering both the probability of successful cyberattacks on SASs and their consequences for the power system. First, the cyberattacks and their countermeasures are introduced, and the probability of successful cyber-intruding on SASs is modeled from the defender’s perspective. Then, a modified hypergraph model of the SAS’s logical structure is established to quantitatively analyze the impacts of cyberattacks on an SAS. The impacts will ultimately act on the physical systems of the power CPS. The modified hypergraph model can describe more information than a graph or hypergraph model and potentially can analyze complex networks like CPSs. Finally, the feasibility and effectiveness of the proposed evaluation method is verified by the IEEE 14-bus system, and the test results demonstrate that this proposed method is more reasonable to assess the cybersecurity risk of power CPS compared with some other models.

Suggested Citation

  • Youping Fan & Jingjiao Li & Dai Zhang & Jie Pi & Jiahan Song & Guo Zhao, 2019. "Supporting Sustainable Maintenance of Substations under Cyber-Threats: An Evaluation Method of Cybersecurity Risk for Power CPS," Sustainability, MDPI, vol. 11(4), pages 1-30, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:4:p:982-:d:205907
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    References listed on IDEAS

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    1. Estrada, Ernesto & Rodríguez-Velázquez, Juan A., 2006. "Subgraph centrality and clustering in complex hyper-networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 364(C), pages 581-594.
    2. Ji, Xingpei & Wang, Bo & Liu, Dichen & Dong, Zhaoyang & Chen, Guo & Zhu, Zhenshan & Zhu, Xuedong & Wang, Xunting, 2016. "Will electrical cyber–physical interdependent networks undergo first-order transition under random attacks?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 460(C), pages 235-245.
    3. Sergey V. Buldyrev & Roni Parshani & Gerald Paul & H. Eugene Stanley & Shlomo Havlin, 2010. "Catastrophic cascade of failures in interdependent networks," Nature, Nature, vol. 464(7291), pages 1025-1028, April.
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    Cited by:

    1. Andreja Mihailović & Julija Cerović Smolović & Ivan Radević & Neli Rašović & Nikola Martinović, 2021. "COVID-19 and Beyond: Employee Perceptions of the Efficiency of Teleworking and Its Cybersecurity Implications," Sustainability, MDPI, vol. 13(12), pages 1-26, June.
    2. Kazeem B. Adedeji & Yskandar Hamam, 2020. "Cyber-Physical Systems for Water Supply Network Management: Basics, Challenges, and Roadmap," Sustainability, MDPI, vol. 12(22), pages 1-30, November.
    3. Pedro J. Zarco-Periñán & José L. Martínez-Ramos & Fco. Javier Zarco-Soto, 2021. "On the Remuneration to Electrical Utilities and Budgetary Allocation for Substation Maintenance Management," Sustainability, MDPI, vol. 13(18), pages 1-15, September.

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