LAPSE:2023.31160v1
Published Article
LAPSE:2023.31160v1
Analysis of Failure Propagation in Cyber-Physical Power Systems Based on an Epidemic Model
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.
Record ID
Keywords
cooperation propagation, cyber-physical power system, epidemic model, interdependent network, node protection
Subject
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:2023.31160v1
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
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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Original Submission
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PII: en16062624, Publication Type: Journal Article
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LAPSE:2023.31160v1
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doi:10.3390/en16062624
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[v1] (Original Submission)
Apr 18, 2023
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Apr 18, 2023
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