IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i15p3002-d254571.html
   My bibliography  Save this article

A Game Theory-Based Approach for Vulnerability Analysis of a Cyber-Physical Power System

Author

Listed:
  • Keren Chen

    (School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Fushuan Wen

    (Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City 800010, Vietnam
    Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 800010, Vietnam)

  • Chung-Li Tseng

    (UNSW Business School, The University of New South Wales, Sydney, NSW 2052, Australia)

  • Minghui Chen

    (Guangzhou Power Supply Company Limited, Guangzhou 510620, China)

  • Zeng Yang

    (Guangzhou Power Supply Company Limited, Guangzhou 510620, China)

  • Hongwei Zhao

    (Guangzhou Power Supply Company Limited, Guangzhou 510620, China)

  • Huiyu Shang

    (Guangzhou Power Supply Company Limited, Guangzhou 510620, China)

Abstract

In a Cyber-Physical Power System (CPPS), the interaction between the power cyber system and the power physical system becomes more extensive and more in-depth. The failure of a cyber component could have an impact on the security and reliability of the power physical system. Existing publications have focused on the impacts of the power cyber network on the power physical network, while a general CPPS model considering the mutual impacts of these two networks is less studied. Given this background, a game-theoretic approach for a cyber-physical power system vulnerability analysis is proposed. First, a CPPS interactive model framework is structured, consisting of five types of elements: P-nodes, PP-links, C-nodes, CC-links and CP-links. The interactions among these elements are considered. On this basis, the system cascading failure under potential attacks is analyzed, followed with an optimal load curtailment operation when in an emergency. To further illustrate the system vulnerability, a bi-level optimization model under a game-theoretic framework is presented to describe the interactions between a CPPS attacker and a system defender. Optimal resource allocation by the system defender for maintaining system reliability can be obtained by solving the problem. The feasibility and effectiveness of the proposed method are demonstrated by a revised version of the IEEE 14-bus power system.

Suggested Citation

  • Keren Chen & Fushuan Wen & Chung-Li Tseng & Minghui Chen & Zeng Yang & Hongwei Zhao & Huiyu Shang, 2019. "A Game Theory-Based Approach for Vulnerability Analysis of a Cyber-Physical Power System," Energies, MDPI, vol. 12(15), pages 1-15, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:3002-:d:254571
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/15/3002/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/15/3002/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yampolskiy, Mark & Horváth, Péter & Koutsoukos, Xenofon D. & Xue, Yuan & Sztipanovits, Janos, 2015. "A language for describing attacks on cyber-physical systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 8(C), pages 40-52.
    2. 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.
    3. Alessandro Vespignani, 2010. "The fragility of interdependency," Nature, Nature, vol. 464(7291), pages 984-985, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dong, Zhengcheng & Tian, Meng & Liang, Jiaqi & Fang, Yanjun & Lu, Yuxin, 2019. "Research on the connection radius of dependency links in interdependent spatial networks against cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 555-564.
    2. Wang, Jianwei & Cai, Lin & Xu, Bo & Li, Peng & Sun, Enhui & Zhu, Zhiguo, 2016. "Out of control: Fluctuation of cascading dynamics in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 1231-1243.
    3. Shekhtman, Louis M. & Danziger, Michael M. & Havlin, Shlomo, 2016. "Recent advances on failure and recovery in networks of networks," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 28-36.
    4. George Xianzhi Yuan & Huiqi Wang, 2019. "The general dynamic risk assessment for the enterprise by the hologram approach in financial technology," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-48, March.
    5. Zanin, Massimiliano, 2015. "Can we neglect the multi-layer structure of functional networks?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 430(C), pages 184-192.
    6. Jonatan Zischg & Christopher Klinkhamer & Xianyuan Zhan & P. Suresh C. Rao & Robert Sitzenfrei, 2019. "A Century of Topological Coevolution of Complex Infrastructure Networks in an Alpine City," Complexity, Hindawi, vol. 2019, pages 1-16, January.
    7. 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.
    8. Gao, Xingle & Peng, Minfang & Tse, Chi K., 2022. "Robustness analysis of cyber-coupled power systems with considerations of interdependence of structures, operations and dynamic behaviors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    9. Wang, Jianwei & Jiang, Chen & Qian, Jianfei, 2014. "Robustness of interdependent networks with different link patterns against cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 535-541.
    10. Melissa L. Finucane & Joie Acosta & Amanda Wicker & Katie Whipkey, 2020. "Short-Term Solutions to a Long-Term Challenge: Rethinking Disaster Recovery Planning to Reduce Vulnerabilities and Inequities," IJERPH, MDPI, vol. 17(2), pages 1-19, January.
    11. Lapatinas, Athanasios & Garas, Antonios, 2016. "The role of networks in firms’ multi-characteristics competition and market-share inequality," MPRA Paper 68959, University Library of Munich, Germany.
    12. Zhou, Shenghua & Yang, Yifan & Ng, S. Thomas & Xu, J. Frank & Li, Dezhi, 2020. "Integrating data-driven and physics-based approaches to characterize failures of interdependent infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 31(C).
    13. Ducruet, César, 2013. "Network diversity and maritime flows," Journal of Transport Geography, Elsevier, vol. 30(C), pages 77-88.
    14. Dong, Shangjia & Wang, Haizhong & Mostafizi, Alireza & Song, Xuan, 2020. "A network-of-networks percolation analysis of cascading failures in spatially co-located road-sewer infrastructure networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).
    15. Qing Cai & Mahardhika Pratama & Sameer Alam, 2019. "Interdependency and Vulnerability of Multipartite Networks under Target Node Attacks," Complexity, Hindawi, vol. 2019, pages 1-16, November.
    16. Alla Kammerdiner & Alexander Semenov & Eduardo L. Pasiliao, 2023. "Flight from COVID-19: Multiscale and Multilayer Analyses of the Epidemic-Induced Network Adaptations," SN Operations Research Forum, Springer, vol. 4(2), pages 1-22, June.
    17. Sandro Luis Schlindwein & Ray Ison, 2020. "Confronting total systemic failure? The May 2018 truckers' strike in Brazil," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(1), pages 119-127, January.
    18. Wang, Jianwei, 2013. "Mitigation strategies on scale-free networks against cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2257-2264.
    19. César Ducruet & Laurent Beauguitte, 2014. "Spatial Science and Network Science: Review and Outcomes of a Complex Relationship," Networks and Spatial Economics, Springer, vol. 14(3), pages 297-316, December.
    20. Fang Zhou & Xiang He & Yongbo Yuan & Mingyuan Zhang, 2020. "Influence of Interlink Topology on Multilayer Network Robustness," Sustainability, MDPI, vol. 12(3), pages 1-19, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:3002-:d:254571. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.