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Current Status and Perspective of Vulnerability Assessment of Cyber-Physical Power Systems Based on Complex Network Theory

Author

Listed:
  • Tianlei Zang

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China
    Intelligent Electric Power Grid Key Laboratory of Sichuan Province, Sichuan University, Chengdu 610065, China)

  • Zian Wang

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China
    Intelligent Electric Power Grid Key Laboratory of Sichuan Province, Sichuan University, Chengdu 610065, China)

  • Xiaoguang Wei

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China)

  • Yi Zhou

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China
    Intelligent Electric Power Grid Key Laboratory of Sichuan Province, Sichuan University, Chengdu 610065, China)

  • Jiale Wu

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China
    Intelligent Electric Power Grid Key Laboratory of Sichuan Province, Sichuan University, Chengdu 610065, China)

  • Buxiang Zhou

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China
    Intelligent Electric Power Grid Key Laboratory of Sichuan Province, Sichuan University, Chengdu 610065, China)

Abstract

The increasing factors of uncertainty faced by the system are due to the deep coupling of the electric power cyber network and the physical network. Consequently, ensuring the efficient, secure, and stable operation of the cyber–physical power system (CPPS) has become a key concern. To achieve this, vulnerability assessment plays a crucial role, as it identifies and protects the vulnerable points of the system. The application of complex network theory to assess the vulnerability of CPPSs has garnered significant attention from scholars. This paper delves into the research connotation of vulnerability assessment for CPPSs, starting with the origin, definition, and classification of vulnerability. Subsequently, the assessment framework of vulnerability based on complex network theory is presented, and the status of current domestic and international research in this field is summarized. Furthermore, the interrelationship between system vulnerability and cascading failures is analyzed from the perspective of complex network theory. In conclusion, the ideas of CPPS coupling modeling in vulnerability assessment are summarized, the concept of situation awareness is introduced, and a prospective approach for dynamic vulnerability assessment is proposed. This approach is based on situation awareness combined with complex network theory. Security protection and optimal operation of CPPSs based on vulnerability assessment are also discussed, along with the assessment of vulnerability within integrated energy cyber–physical systems (IECPSs).

Suggested Citation

  • Tianlei Zang & Zian Wang & Xiaoguang Wei & Yi Zhou & Jiale Wu & Buxiang Zhou, 2023. "Current Status and Perspective of Vulnerability Assessment of Cyber-Physical Power Systems Based on Complex Network Theory," Energies, MDPI, vol. 16(18), pages 1-38, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6509-:d:1236588
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    References listed on IDEAS

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    1. Wang, Kai & Zhang, Bu-han & Zhang, Zhe & Yin, Xiang-gen & Wang, Bo, 2011. "An electrical betweenness approach for vulnerability assessment of power grids considering the capacity of generators and load," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4692-4701.
    2. Aretano, Roberta & Semeraro, Teodoro & Petrosillo, Irene & De Marco, Antonella & Pasimeni, Maria Rita & Zurlini, Giovanni, 2015. "Mapping ecological vulnerability to fire for effective conservation management of natural protected areas," Ecological Modelling, Elsevier, vol. 295(C), pages 163-175.
    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.
    4. Fang, Yiping & Sansavini, Giovanni, 2017. "Optimizing power system investments and resilience against attacks," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 161-173.
    5. Buxiang Zhou & Jiale Wu & Tianlei Zang & Yating Cai & Binjie Sun & Yiwei Qiu, 2023. "Emergency Dispatch Approach for Power Systems with Hybrid Energy Considering Thermal Power Unit Ramping," Energies, MDPI, vol. 16(10), pages 1-25, May.
    6. Crucitti, Paolo & Latora, Vito & Marchiori, Massimo, 2004. "A topological analysis of the Italian electric power grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(1), pages 92-97.
    7. Saniee Monfared, Momhammad Ali & Jalili, Mahdi & Alipour, Zohreh, 2014. "Topology and vulnerability of the Iranian power grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 24-33.
    8. Zio, Enrico, 2016. "Challenges in the vulnerability and risk analysis of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 137-150.
    9. Xiaoguang Wei & Shibin Gao & Tao Huang & Tao Wang & Wenli Fan, 2019. "Identification of Two Vulnerability Features: A New Framework for Electrical Networks Based on the Load Redistribution Mechanism of Complex Networks," Complexity, Hindawi, vol. 2019, pages 1-14, January.
    10. Leijiao Ge & Yuanliang Li & Yuanliang Li & Jun Yan & Yonghui Sun, 2022. "Smart Distribution Network Situation Awareness for High-Quality Operation and Maintenance: A Brief Review," Energies, MDPI, vol. 15(3), pages 1-24, January.
    11. Nasiruzzaman, A.B.M. & Pota, H.R. & Akter, Most. Nahida, 2014. "Vulnerability of the large-scale future smart electric power grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 11-24.
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