LAPSE:2023.31160
Published Article
LAPSE:2023.31160
Analysis of Failure Propagation in Cyber-Physical Power Systems Based on an Epidemic Model
Haiyan Zhang, Yufei Teng, Josep M. Guerrero, Pierluigi Siano, Xiaorong Sun
April 18, 2023
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
cooperation propagation, cyber-physical power system, epidemic model, interdependent network, node protection
Suggested Citation
Zhang H, Teng Y, Guerrero JM, Siano P, Sun X. Analysis of Failure Propagation in Cyber-Physical Power Systems Based on an Epidemic Model. (2023). LAPSE:2023.31160
Author Affiliations
Zhang H: College of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
Teng Y: Power Internet of Things Key Laboratory of Sichuan Province, Chengdu 610072, China
Guerrero JM: Department of Energy Engineering, Aalborg University, 9920 Aalborg, Denmark [ORCID]
Siano P: 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 [ORCID]
Sun X: College of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
Journal Name
Energies
Volume
16
Issue
6
First Page
2624
Year
2023
Publication Date
2023-03-10
Published Version
ISSN
1996-1073
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PII: en16062624, Publication Type: Journal Article
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doi:10.3390/en16062624
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