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dc.contributor.authorClavijo Blanco, José Antonio 
dc.contributor.authorRosendo Macías, José Antonio
dc.contributor.otherIngeniería Eléctricaes_ES
dc.date.accessioned2025-01-30T10:33:37Z
dc.date.available2025-01-30T10:33:37Z
dc.date.issued2020-08-01
dc.identifier.issn0378-7796
dc.identifier.urihttp://hdl.handle.net/10498/35137
dc.description.abstractElectric distribution companies have the responsibility of achieving the standards established by the respective regulating authorities in order to guarantee the highest quality of supply for their customers. To do so, they have to register all the electrical issues produced in the Distribution Network into a database. This paper uses this real database to make a statistical analysis of the failures that occur in distribution networks and identify the interruption causes, in order to estimate failure rates and improve the quality of electrical supply. These failure rates are used to calculate the failure probability of electrical feeders taking into account the different electrical components in them. The expected amount of failures of more than 350 feeders have been calculated and tested with the real database to prove the reliability of the method. This work also shows an application to evaluate the failure probability of alternative network configurations.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherElsevier Ltdes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceElectric Power Systems Research, vol. 185, 2020es_ES
dc.subjectPower system reliabilityes_ES
dc.subjectDistribution networkses_ES
dc.subjectFailure rateses_ES
dc.subjectElectrical failure analysises_ES
dc.subjectBreakdownses_ES
dc.titleFailure rates in distribution networks: Estimation methodology and applicationes_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1016/J.EPSR.2020.106398
dc.type.hasVersionVoRes_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional