Improving distribution network resilience against earthquakes

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dc.contributor.authorNavarro-Espinosa, A.
dc.contributor.authorMoreno, R.
dc.contributor.authorLagos, T.
dc.contributor.authorOrdoñez, F.
dc.contributor.authorSacaan, R.
dc.contributor.authorEspinoza, S.
dc.contributor.authorRudnick, Hugh
dc.date.accessioned2022-05-20T14:30:36Z
dc.date.available2022-05-20T14:30:36Z
dc.date.issued2017
dc.description.abstractHistorically, reliability analysis has ignored the occurrence of natural hazards such as those associated with extreme weather, flooding, earthquakes and tsunamis, which are becoming more and more relevant due to recent events. In this content, we present an assessment methodology to determine the resiliency levels of a distribution system e,posed to a major earthquake. The proposed 4-stage methodology models (i) the earthquake, (ii) the fragility of network components, (iv) the network outages, and (v) the impacts on network operation (including the energy not supplied) through sequential Monte Carlo simulations. This methodology is used to study the resilience of distribution networks under two particular strategies: one that hardens substations infrastructure in order to reduce their fragility levels, and the other one that uses additional network infrastructure in the form of transfer cables to shift load among substations in case a major event occurs. Through several case studies based on a real distribution network in Chile, we demonstrate that hardening substations infrastructure may be a more resilient way to deal with earthquakes, even when compared to an alternative, extreme case where a vast number of transfer cables are installed to support damaged substations
dc.fuente.origenIET
dc.identifier.doi10.1049/cp.2017.0339
dc.identifier.eisbn9781785616631
dc.identifier.isbn9781785616624
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8361391
dc.identifier.urihttps://doi.org/10.1049/cp.2017.0339
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/64234
dc.information.autorucEscuela de ingeniería ; Rudnick, Hugh; S/I ; 99167
dc.language.isoen
dc.nota.accesoContenido parcial
dc.publisherIET
dc.relation.ispartofIET International Conference on Resilience of Transmission and Distribution Networks (2017 : Birmingham, Reino Unido)
dc.rightsacceso restringido
dc.subjectEarthquakes
dc.subjectMonte Carlo methods
dc.subjectPower distribution reliability
dc.subjectSubstations
dc.titleImproving distribution network resilience against earthquakeses_ES
dc.typecomunicación de congreso
sipa.codpersvinculados99167
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