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Analysis of Failure Propagation in Cyber-Physical Power Systems Based on an Epidemic Model

Author

Listed:
  • Haiyan Zhang

    (College of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China)

  • Yufei Teng

    (Power Internet of Things Key Laboratory of Sichuan Province, Chengdu 610072, China)

  • Josep M. Guerrero

    (Department of Energy Engineering, Aalborg University, 9920 Aalborg, Denmark)

  • Pierluigi Siano

    (Department of Management & Innovation Systems, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, SA, Italy
    Department of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg 2006, South Africa)

  • Xiaorong Sun

    (College of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China)

Abstract

From the perspective of propagation dynamics in complex networks, failure propagation in cyber-physical power systems is analogous to the spread of diseases; subsequently, the cyber nodes and power nodes are regarded as individuals in each of their groups. In this study, a two-layer interdependent network model of the cyber-physical power system is proposed, where each subnetwork adopts the Susceptible-Infected-Susceptible (SIS) epidemic-spreading model. On this basis, we construct a failure cooperation propagation model of cyber-physical power systems. Furthermore, we introduce the node protection mechanism to ensure the normal operation of key nodes. The generated scale-free cyber network and IEEE118-bus power system are used for simulation to analyze the influence of the coupling effect between them on the final failure scale.

Suggested Citation

  • Haiyan Zhang & Yufei Teng & Josep M. Guerrero & Pierluigi Siano & Xiaorong Sun, 2023. "Analysis of Failure Propagation in Cyber-Physical Power Systems Based on an Epidemic Model," Energies, MDPI, vol. 16(6), pages 1-14, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2624-:d:1093747
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    References listed on IDEAS

    as
    1. Zhan, Xiu-Xiu & Liu, Chuang & Zhou, Ge & Zhang, Zi-Ke & Sun, Gui-Quan & Zhu, Jonathan J.H. & Jin, Zhen, 2018. "Coupling dynamics of epidemic spreading and information diffusion on complex networks," Applied Mathematics and Computation, Elsevier, vol. 332(C), pages 437-448.
    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. Lurong Jiang & Qiaoyu Xu & Bo Ouyang & Yicong Lang & Yanyun Dai & Jijun Tong, 2018. "Epidemic Spreading in Interdependent Networks," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-10, July.
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