Modeling and Fault Propagation Analysis of Cyber–Physical Power System

Modeling and Fault Propagation Analysis of Cyber–Physical Power System

In cyber−physical power systems (CPPSs), the interaction mechanisms between physical systems and cyber systems are becoming more and more complicated. Their deep integration has brought new unstable factors to the system. Faults or attacks may cause a chain reaction, such as control failur...

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Main Authors: Xiaoxiao Guo, Yanghong Tan, Feng Wang
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Energies
Subjects:
cyber–physical power system
interdependent model
fault propagation analysis
smart grid
Online Access:https://www.mdpi.com/1996-1073/13/3/539
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spelling doaj-401eb480fd1d45d993cd39b793ed21532020-11-25T02:20:24ZengMDPI AGEnergies1996-10732020-01-0113353910.3390/en13030539en13030539Modeling and Fault Propagation Analysis of Cyber–Physical Power SystemXiaoxiao Guo0Yanghong Tan1Feng Wang2College of Electrical and Information Engineering, Hunan University, Changsha 410082, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha 410082, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha 410082, ChinaIn cyber−physical power systems (CPPSs), the interaction mechanisms between physical systems and cyber systems are becoming more and more complicated. Their deep integration has brought new unstable factors to the system. Faults or attacks may cause a chain reaction, such as control failure, state deterioration, or even outage, which seriously threatens the safe and stable operation of power grids. In this paper, given the interaction mechanisms, we propose an interdependent model of CPPS, based on a characteristic association method. Utilizing this model, we can study the fault propagation mechanisms when faulty or under cyber-attack. Simulation results quantitatively reveal the propagation process of fault risks and the impacts on the CPPS due to the change of state quantity of the system model.https://www.mdpi.com/1996-1073/13/3/539cyber–physical power systeminterdependent modelfault propagation analysissmart grid
collection DOAJ
language English
format Article
sources DOAJ
author Xiaoxiao Guo
Yanghong Tan
Feng Wang
spellingShingle Xiaoxiao Guo
Yanghong Tan
Feng Wang
Modeling and Fault Propagation Analysis of Cyber–Physical Power System
Energies
cyber–physical power system
interdependent model
fault propagation analysis
smart grid
author_facet Xiaoxiao Guo
Yanghong Tan
Feng Wang
author_sort Xiaoxiao Guo
title Modeling and Fault Propagation Analysis of Cyber–Physical Power System
title_short Modeling and Fault Propagation Analysis of Cyber–Physical Power System
title_full Modeling and Fault Propagation Analysis of Cyber–Physical Power System
title_fullStr Modeling and Fault Propagation Analysis of Cyber–Physical Power System
title_full_unstemmed Modeling and Fault Propagation Analysis of Cyber–Physical Power System
title_sort modeling and fault propagation analysis of cyber–physical power system
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2020-01-01
description In cyber−physical power systems (CPPSs), the interaction mechanisms between physical systems and cyber systems are becoming more and more complicated. Their deep integration has brought new unstable factors to the system. Faults or attacks may cause a chain reaction, such as control failure, state deterioration, or even outage, which seriously threatens the safe and stable operation of power grids. In this paper, given the interaction mechanisms, we propose an interdependent model of CPPS, based on a characteristic association method. Utilizing this model, we can study the fault propagation mechanisms when faulty or under cyber-attack. Simulation results quantitatively reveal the propagation process of fault risks and the impacts on the CPPS due to the change of state quantity of the system model.
topic cyber–physical power system
interdependent model
fault propagation analysis
smart grid
url https://www.mdpi.com/1996-1073/13/3/539
work_keys_str_mv AT xiaoxiaoguo modelingandfaultpropagationanalysisofcyberphysicalpowersystem
AT yanghongtan modelingandfaultpropagationanalysisofcyberphysicalpowersystem
AT fengwang modelingandfaultpropagationanalysisofcyberphysicalpowersystem
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