Identifying critical components in power distribution networks using graph theoretical measures

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dc.catalogadorpau
dc.contributor.authorLlera Martin, Juan Carlos de la
dc.contributor.authorMonsalve, Mauricio
dc.date.accessioned2023-03-07T15:27:46Z
dc.date.available2023-03-07T15:27:46Z
dc.date.issued2019
dc.description.abstractCritical infrastructures (CIs) are spatially distributed infrastructure networks that supply essential services and goods to our society. However, CIs are exposed to diverse disruptive and severe natural events, random failures and manmade attacks, which undermine their proper functioning producing negative impacts on the population. In this context, it is of paramount importance to identify which are the most relevant CI components that deserve special attention for improving CIs protection. The identification of critical components is a well consolidated practice in risk analysis of complex technological systems; however, when looking at real-world spatially-distributed CIs, identifying the most critical components precisely is challenging. Indeed, CIs cover large spatial areas, have variable degrees of redundancy, and often exhibit irregular topological characteristics. In order to address this problem, this work looks at the ability of different graph theoretical measures or scores at identifying critical components in power distribution networks to later compare them. The scores considered herein include various network centrality measures (degree, eigenvector, closeness, betweenness) and some variations. The comparison of these measures is performed on three power distribution networks from central Chile, finding that a variant of betweenness centrality is the best at identifying the most critical components.
dc.fechaingreso.objetodigital2023-03-07
dc.format.extent7 páginas
dc.fuente.origenConveris
dc.identifier.doi10.3850/978-981-11-2724-3_0662-cd
dc.identifier.scopusidSCOPUS_ID:2-s2.0-85084142312
dc.identifier.urihttps://doi.org/10.3850/978-981-11-2724-3_0662-cd
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/66536
dc.information.autorucEscuela de Ingeniería; Llera Martin, Juan Carlos de la; 0000-0002-9064-0938; 53086
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final1587
dc.pagina.inicio1581
dc.relation.ispartofEuropean Safety and Reliability Conference (29° ; 2019 ; Hannover, Alemania)
dc.revistaProceedings of the 29th European Safety and Reliability Conference, ESREL 2019
dc.rightsacceso restringido
dc.subject.ddc620
dc.subject.deweyIngenieríaes_ES
dc.titleIdentifying critical components in power distribution networks using graph theoretical measures
dc.typecomunicación de congreso
sipa.codpersvinculados53086
sipa.indexPubmed
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