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

Haiyan Zhang (), Yufei Teng, Josep M. Guerrero, Pierluigi Siano and Xiaorong Sun
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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
Xiaorong Sun: College of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China

Energies, 2023, vol. 16, issue 6, 1-14

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.

Keywords: cyber-physical power system; interdependent network; epidemic model; cooperation propagation; node protection (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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