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Modelling and Vulnerability Analysis of Cyber-Physical Power Systems Based on Interdependent Networks

Author

Listed:
  • Haiyan Zhang

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Minfang Peng

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Josep M. Guerrero

    (Department of Energy Engineering, Aalborg University, 9220 Aalborg, Denmark)

  • Xingle Gao

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Yanchen Liu

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

Abstract

The strong coupling between the power grid and communication systems may contribute to failure propagation, which may easily lead to cascading failures or blackouts. In this paper, in order to quantitatively analyse the impact of interdependency on power system vulnerability, we put forward a “degree–electrical degree” independent model of cyber-physical power systems (CPPS), a new type of assortative link, through identifying the important nodes in a power grid based on the proposed index–electrical degree, and coupling them with the nodes in a communication system with a high degree, based on one-to-one correspondence. Using the double-star communication system and the IEEE 118-bus power grid to form an artificial interdependent network, we evaluated and compare the holistic vulnerability of CPPS under random attack and malicious attack, separately based on three kinds of interdependent models: “degree–betweenness”, “degree–electrical degree” and “random link”. The simulation results demonstrated that different link patterns, coupling degrees and attack types all can influence the vulnerability of CPPS. The CPPS with a “degree–electrical degree” interdependent model proposed in this paper presented a higher robustness in the face of random attack, and moreover performed better than the degree–betweenness interdependent model in the face of malicious attack.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:18:p:3439-:d:264801
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. 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).
    2. Ashraful Goni & Md. Umor Faruk Jahangir & Rajarshi Roy Chowdhury, 2024. "A Study on Cyber security: Analyzing Current Threats, Navigating Complexities, and Implementing Prevention Strategies," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 10(12), pages 507-522, January.
    3. Efstathios Kontouras & Anthony Tzes & Leonidas Dritsas, 2019. "Hybrid Detection of Intermittent Cyber-Attacks in Networked Power Systems," Energies, MDPI, vol. 12(24), pages 1-29, December.
    4. Wang, Jianwei & Wang, Siyuan & Wang, Ziwei, 2022. "Robustness of spontaneous cascading dynamics driven by reachable area," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    5. 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.

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