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Survivability evaluation and importance analysis for cyber–physical smart grids

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  • Woodard, Mark
  • Marashi, Koosha
  • Sedigh Sarvestani, Sahra
  • Hurson, Ali R.

Abstract

In this paper, we propose metrics and an evaluation method for survivability, which captures the extent of functionality retained by a system after a disruptive event. Our approach can be applied to a system with an arbitrary, but known, topology. We quantify survivability in terms of the extent and rate of degradation of a domain-specific figure-of-merit. The results are used in importance analysis to identify components most frequently involved in system-level failures, as well as components whose failure have the most severe consequences. As a case study, we have analyzed three smart grids, respectively based on the IEEE 14-, 30-, and 57-bus test systems. Using simulation-based fault injection, we evaluate their survivability in the presence of failures resulting from corrupted data, transmission line outages, and loss of power regulators. Two figures of merit were used, namely the customer service index and the average nominal voltage error. Our work provides means for quantifying and predicting the service degradation caused by failure of parts of a cyber–physical smart grid. It also enables efforts to fortify critical systems and mitigate their inevitable failures.

Suggested Citation

  • Woodard, Mark & Marashi, Koosha & Sedigh Sarvestani, Sahra & Hurson, Ali R., 2021. "Survivability evaluation and importance analysis for cyber–physical smart grids," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    • Handle: RePEc:eee:reensy:v:210:y:2021:i:c:s0951832021000430
    DOI: 10.1016/j.ress.2021.107479
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    References listed on IDEAS

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    1. Hosseini, Seyedmohsen & Barker, Kash & Ramirez-Marquez, Jose E., 2016. "A review of definitions and measures of system resilience," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 47-61.
    2. Pahwa, S. & Youssef, M. & Schumm, P. & Scoglio, C. & Schulz, N., 2013. "Optimal intentional islanding to enhance the robustness of power grid networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3741-3754.
    3. Henry, Devanandham & Emmanuel Ramirez-Marquez, Jose, 2012. "Generic metrics and quantitative approaches for system resilience as a function of time," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 114-122.
    4. Zhanshan Sam Ma, 2012. "A unified definition for reliability, survivability and resilience inspired by the handicap principle and ecological stability," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 8(2/3), pages 242-272.
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    Citations

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    Cited by:

    1. Kenneth Martínez & David Claudio, 2023. "Expanding Fundamental Boundaries between Resilience and Survivability in Systems Engineering: A Literature Review," Sustainability, MDPI, vol. 15(6), pages 1-27, March.
    2. Marashi, Koosha & Sarvestani, Sahra Sedigh & Hurson, Ali R., 2021. "Identification of interdependencies and prediction of fault propagation for cyber–physical systems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    3. Dong, Zhengcheng & Tian, Meng & Li, Xin & Lai, Jingang & Tang, Ruoli, 2022. "Mitigating cascading failures of spatially embedded cyber–physical power systems by adding additional information links," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    4. Wang, Hongping & Fang, Yi-Ping & Zio, Enrico, 2022. "Resilience-oriented optimal post-disruption reconfiguration for coupled traffic-power systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    5. Ding, Zhetong & Chen, Chunyu & Cui, Mingjian & Bi, Wenjun & Chen, Yang & Li, Fangxing, 2021. "Dynamic game-based defensive primary frequency control system considering intelligent attackers," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    6. Wang, Wei & Cova, Gregorio & Zio, Enrico, 2022. "A clustering-based framework for searching vulnerabilities in the operation dynamics of Cyber-Physical Energy Systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    7. 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).
    8. Oleksii Lyulyov & Ihor Vakulenko & Tetyana Pimonenko & Aleksy Kwilinski & Henryk Dzwigol & Mariola Dzwigol-Barosz, 2021. "Comprehensive Assessment of Smart Grids: Is There a Universal Approach?," Energies, MDPI, vol. 14(12), pages 1-26, June.

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