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Modeling and Vulnerability Analysis of Cyber-Physical Power Systems Considering Network Topology and Power Flow Properties

Author

Listed:
  • Jia Guo

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

  • Yuqi Han

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

  • Chuangxin Guo

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

  • Fengdan Lou

    (State Grid Zhejiang Electric Power Company, Hangzhou 310027, China)

  • Yanbo Wang

    (State Grid Zhejiang Electric Power Company, Hangzhou 310027, China)

Abstract

Conventional power systems are developing into cyber-physical power systems (CPPS) with wide applications of communication, computer and control technologies. However, multiple practical cases show that the failure of cyber layers is a major factor leading to blackouts. Therefore, it is necessary to discuss the cascading failure process considering cyber layer failures and analyze the vulnerability of CPPS. In this paper, a CPPS model, which consists of cyber layer, physical layer and cyber-physical interface, is presented using complex network theory. Considering power flow properties, the impacts of cyber node failures on the cascading failure propagation process are studied. Moreover, two vulnerability indices are established from the perspective of both network structure and power flow properties. A vulnerability analysis method is proposed, and the CPPS performance before and after cascading failures is analyzed by the proposed method to calculate vulnerability indices. In the case study, three typical scenarios are analyzed to illustrate the method, and vulnerabilities under different interface strategies and attack strategies are compared. Two thresholds are proposed to value the CPPS vulnerability roughly. The results show that CPPS is more vulnerable under malicious attacks and cyber nodes with high indices are vulnerable points which should be reinforced.

Suggested Citation

  • Jia Guo & Yuqi Han & Chuangxin Guo & Fengdan Lou & Yanbo Wang, 2017. "Modeling and Vulnerability Analysis of Cyber-Physical Power Systems Considering Network Topology and Power Flow Properties," Energies, MDPI, vol. 10(1), pages 1-21, January.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:1:p:87-:d:87634
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    References listed on IDEAS

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    1. 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.
    2. Lucas Cuadra & Sancho Salcedo-Sanz & Javier Del Ser & Silvia Jiménez-Fernández & Zong Woo Geem, 2015. "A Critical Review of Robustness in Power Grids Using Complex Networks Concepts," Energies, MDPI, vol. 8(9), pages 1-55, August.
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    Cited by:

    1. Haiyan Zhang & Minfang Peng & Josep M. Guerrero & Xingle Gao & Yanchen Liu, 2019. "Modelling and Vulnerability Analysis of Cyber-Physical Power Systems Based on Interdependent Networks," Energies, MDPI, vol. 12(18), pages 1-14, September.
    2. 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).
    3. Fauzan Hanif Jufri & Jun-Sung Kim & Jaesung Jung, 2017. "Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event," Energies, MDPI, vol. 10(11), pages 1-17, November.
    4. Gao, Guibing & Wang, Junshen & Yue, Wenhui & Ou, Wenchu, 2020. "Structural-vulnerability assessment of reconfigurable manufacturing system based on universal generating function," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    5. Mihai Sanduleac & Gianluca Lipari & Antonello Monti & Artemis Voulkidis & Gianluca Zanetto & Antonello Corsi & Lucian Toma & Giampaolo Fiorentino & Dumitru Federenciuc, 2017. "Next Generation Real-Time Smart Meters for ICT Based Assessment of Grid Data Inconsistencies," Energies, MDPI, vol. 10(7), pages 1-16, June.
    6. Guibing, Gao & Wenhui, Yue & Wenchu, Ou & Hao, Tang, 2018. "Vulnerability evaluation method applied to manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 255-265.
    7. Ziqi Wang & Jinghan He & Alexandru Nechifor & Dahai Zhang & Peter Crossley, 2017. "Identification of Critical Transmission Lines in Complex Power Networks," Energies, MDPI, vol. 10(9), pages 1-19, August.
    8. Xiaoxiao Guo & Yanghong Tan & Feng Wang, 2020. "Modeling and Fault Propagation Analysis of Cyber–Physical Power System," Energies, MDPI, vol. 13(3), pages 1-22, January.
    9. Zhang, Dongdong & Li, Chunjiao & Goh, Hui Hwang & Ahmad, Tanveer & Zhu, Hongyu & Liu, Hui & Wu, Thomas, 2022. "A comprehensive overview of modeling approaches and optimal control strategies for cyber-physical resilience in power systems," Renewable Energy, Elsevier, vol. 189(C), pages 1383-1406.
    10. Rui Fan & Jianming Lian & Karanjit Kalsi & Marcelo A. Elizondo, 2018. "Impact of Cyber Attacks on High Voltage DC Transmission Damping Control," Energies, MDPI, vol. 11(5), pages 1-17, April.
    11. Fei He & Jun Zhuang & Nageswara S. V. Rao, 2020. "Discrete game-theoretic analysis of defense in correlated cyber-physical systems," Annals of Operations Research, Springer, vol. 294(1), pages 741-767, November.
    12. Hantao Cui & Yichen Zhang & Kevin L. Tomsovic & Fangxing (Fran) Li, 2022. "Power electronics‐interfaced cyber‐physical power systems: A review on modeling, simulation, and cybersecurity," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(6), November.

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