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Article: Cascading risk assessment in power-communication interdependent networks

TitleCascading risk assessment in power-communication interdependent networks
Authors
KeywordsRisk assessment
Interdependent network
Complex network
Cascading failure
Issue Date2020
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/physa
Citation
Physica A: Statistical Mechanics and its Applications, 2020, v. 540, p. article no. 120496 How to Cite?
AbstractWith the expansion of power system scale, more and more network systems are interconnected to form a huge interdependent network. The most notable of these is the power-communication interdependent network. Modern power systems rely heavily on being controlled via communication networks; in reverse, power supply is the foundation of maintaining the normal operation of communication network. In such an interdependent network, a failure in one layer will not only disrupt its own stability, but may also cause a cascading failure between multiple layers. Therefore, developing an advanced method that can assess the cascading risk in power-communication interdependent network is essential. In this paper, an improved Complex Network model for power-communication interdependent network risk assessment is proposed. Firstly, a model of power system coupled with communication network is developed. Then data exchange rules which is improved from the existing ”point-wise” interdependent model are introduced. In addition, the interactions between the power system and communication network are provided. The simulation results demonstrate that the proposed method is effective for a power-communication interdependent network cascading risk assessment.
Persistent Identifierhttp://hdl.handle.net/10722/288068
ISSN
2021 Impact Factor: 3.778
2020 SCImago Journal Rankings: 0.640
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, Z-
dc.contributor.authorChen, G-
dc.contributor.authorLiu, L-
dc.contributor.authorHill, DJ-
dc.date.accessioned2020-10-05T12:07:24Z-
dc.date.available2020-10-05T12:07:24Z-
dc.date.issued2020-
dc.identifier.citationPhysica A: Statistical Mechanics and its Applications, 2020, v. 540, p. article no. 120496-
dc.identifier.issn0378-4371-
dc.identifier.urihttp://hdl.handle.net/10722/288068-
dc.description.abstractWith the expansion of power system scale, more and more network systems are interconnected to form a huge interdependent network. The most notable of these is the power-communication interdependent network. Modern power systems rely heavily on being controlled via communication networks; in reverse, power supply is the foundation of maintaining the normal operation of communication network. In such an interdependent network, a failure in one layer will not only disrupt its own stability, but may also cause a cascading failure between multiple layers. Therefore, developing an advanced method that can assess the cascading risk in power-communication interdependent network is essential. In this paper, an improved Complex Network model for power-communication interdependent network risk assessment is proposed. Firstly, a model of power system coupled with communication network is developed. Then data exchange rules which is improved from the existing ”point-wise” interdependent model are introduced. In addition, the interactions between the power system and communication network are provided. The simulation results demonstrate that the proposed method is effective for a power-communication interdependent network cascading risk assessment.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/physa-
dc.relation.ispartofPhysica A: Statistical Mechanics and its Applications-
dc.subjectRisk assessment-
dc.subjectInterdependent network-
dc.subjectComplex network-
dc.subjectCascading failure-
dc.titleCascading risk assessment in power-communication interdependent networks-
dc.typeArticle-
dc.identifier.emailHill, DJ: dhill@eee.hku.hk-
dc.identifier.authorityHill, DJ=rp01669-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.physa.2019.01.065-
dc.identifier.scopuseid_2-s2.0-85074479821-
dc.identifier.hkuros315094-
dc.identifier.volume540-
dc.identifier.spagearticle no. 120496-
dc.identifier.epagearticle no. 120496-
dc.identifier.isiWOS:000506711900114-
dc.publisher.placeNetherlands-
dc.identifier.issnl0378-4371-

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