Predictive capacity of topological measures in evaluating seismic risk and resilience of electric power networks

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dc.article.number108040
dc.catalogadoraba
dc.contributor.authorFerrario, Elisa
dc.contributor.authorPoulos, A.
dc.contributor.authorCastro, S.
dc.contributor.authorLlera Martin, Juan Carlos de la
dc.contributor.authorLorca Gálvez, Álvaro Hugo
dc.date.accessioned2023-03-13T20:56:08Z
dc.date.available2023-03-13T20:56:08Z
dc.date.issued2022
dc.description.abstractElectric Power Networks (EPNs) play a fundamental role in the wellbeing of modern societies and recovery of societal functions after an earthquake. Risk and resilience analyses may identify useful network characteristics to improve EPN response and recovery during and after a severe seismic event. This work computes different functional measures in order to: (i) estimate the actual risk and resilience of EPNs; and (ii) evaluate the predictive capacity of different topological measures (TMs) relative to the EPN earthquake risk performance. The analysis is carried out on the Chilean EPN at the national, regional and substation level, by using a detailed model of the network. EPN operation was modeled using the DC optimal power flow model from the time of earthquake occurrence until full system recovery using the Seismic Probabilistic Risk Assessment framework. Seismic risk and resilience estimations of Energy Not Supplied (ENS) and number of hours with ENS have been correlated with six network TMs. Linear correlation results show that TMs provide, in general, limited insight into the criticality of the Chilean EPN. In spite of that, the strongest correlation was observed for the degree TM. Moreover, the Damage Consequence Index confirmed the rather uniformly distributed seismic risk along the country.
dc.description.funderChilean Research and Development Agency (ANID) under Fondecyt grants
dc.description.funderChilean Research Center for Integrated Disaster Risk Management ANID/FONDAP/15110017
dc.format.extent19
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.ress.2021.108040
dc.identifier.eissn1879-0836
dc.identifier.issn0951-8320
dc.identifier.scopusidSCOPUS_ID:85116872108
dc.identifier.urihttps://doi.org/10.1016/j.ress.2021.108040
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/66566
dc.identifier.wosidWOS:000708365800005
dc.information.autorucS/I ; Ferrario Elisa; 0000-0001-8823-874X; 1071009
dc.information.autorucEscuela de Ingeniería; De La Llera Martin Juan Carlos; 0000-0002-9064-0938; 53086
dc.information.autorucEscuela de Ingeniería; Lorca Galvez Alvaro Hugo; 0000-0002-9864-0932; 148348
dc.language.isoen
dc.nota.accesoContenido parcial
dc.publisherELSEVIER SCI LTD
dc.revistaRELIABILITY ENGINEERING & SYSTEM SAFETY
dc.rightsacceso restringido
dc.subjectElectric power networks
dc.subjectSeismic probabilistic risk assessment
dc.subjectRisk and resilience
dc.subjectNetwork topological measures
dc.subjectComponent ranking
dc.subjectMonte Carlo simulation
dc.subjectVulnerabilitu assessment
dc.subjectCentrality
dc.subjectInfrastructure
dc.subjectPerformance
dc.subjectModel
dc.subject.ddc620
dc.subject.deweyIngenieríaes_ES
dc.titlePredictive capacity of topological measures in evaluating seismic risk and resilience of electric power networkses_ES
dc.typeartículo
dc.volumen217
sipa.codpersvinculados1071009
sipa.codpersvinculados53086
sipa.codpersvinculados148348
sipa.indexWoS
sipa.indexSCOPUS
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