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Cascading risk assessment in power-communication interdependent networks

Author

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  • Wang, Zhuoyang
  • Chen, Guo
  • Liu, Long
  • Hill, David J.

Abstract

With the expansion of power system scale, more and more network systems are interconnected to form a huge interdependent network. The most notable of these is the power-communication interdependent network. Modern power systems rely heavily on being controlled via communication networks; in reverse, power supply is the foundation of maintaining the normal operation of communication network. In such an interdependent network, a failure in one layer will not only disrupt its own stability, but may also cause a cascading failure between multiple layers. Therefore, developing an advanced method that can assess the cascading risk in power-communication interdependent network is essential. In this paper, an improved Complex Network model for power-communication interdependent network risk assessment is proposed. Firstly, a model of power system coupled with communication network is developed. Then data exchange rules which is improved from the existing ”point-wise” interdependent model are introduced. In addition, the interactions between the power system and communication network are provided. The simulation results demonstrate that the proposed method is effective for a power-communication interdependent network cascading risk assessment.

Suggested Citation

  • Wang, Zhuoyang & Chen, Guo & Liu, Long & Hill, David J., 2020. "Cascading risk assessment in power-communication interdependent networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    • Handle: RePEc:eee:phsmap:v:540:y:2020:i:c:s0378437119300573
    DOI: 10.1016/j.physa.2019.01.065
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    References listed on IDEAS

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    1. Wang, Zhuoyang & Chen, Guo & Hill, David J. & Dong, Zhao Yang, 2016. "A power flow based model for the analysis of vulnerability in power networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 460(C), pages 105-115.
    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. Wang, Zhuoyang & Hill, David J. & Chen, Guo & Dong, Zhao Yang, 2017. "Power system cascading risk assessment based on complex network theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 532-543.
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    Cited by:

    1. Jin, Ziyang & Duan, Dongli & Wang, Ning, 2022. "Cascading failure of complex networks based on load redistribution and epidemic process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    2. Zang, Weifei & Ji, Xinsheng & Liu, Shuxin & Wang, Gengrun, 2021. "Percolation on interdependent networks with cliques and weak interdependence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    3. Yin, Rongrong & Li, Linhui & Wang, Yumeng & Lang, Chun & Hao, Zhenyang & Zhang, Le, 2024. "Identifying critical nodes in complex networks based on distance Laplacian energy," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    4. Zhao, Shuying & Sun, Shaowei, 2023. "Identification of node centrality based on Laplacian energy of networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).

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