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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/73613
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dc.contributor.authorGastaldello, D. S.-
dc.contributor.authorSouza, A. N.-
dc.contributor.authorRamos, C. C O-
dc.contributor.authorDa Costa Junior, P.-
dc.contributor.authorZago, M. G.-
dc.date.accessioned2014-05-27T11:27:04Z-
dc.date.accessioned2016-10-25T18:38:42Z-
dc.date.available2014-05-27T11:27:04Z-
dc.date.available2016-10-25T18:38:42Z-
dc.date.issued2012-10-01-
dc.identifierhttp://dx.doi.org/10.1109/INES.2012.6249871-
dc.identifier.citationINES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings, p. 423-427.-
dc.identifier.urihttp://hdl.handle.net/11449/73613-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/73613-
dc.description.abstractThe need for high reliability and environmental concerns are making the underground networks the most appropriate choice of energy distribution. However, like any other system, underground distribution systems are not free of failures. In this context, this work presents an approach to study underground systems using computational tools by integrating the software PSCAD/EMTDC with artificial neural networks to assist fault location in power distribution systems. Targeted benefits include greater accuracy and reduced repair time. The results presented here shows the feasibility of the proposed approach. © 2012 IEEE.en
dc.format.extent423-427-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectComputational tools-
dc.subjectEnergy distributions-
dc.subjectEnvironmental concerns-
dc.subjectHigh reliability-
dc.subjectPower distribution system-
dc.subjectPSCAD/EMTDC-
dc.subjectUnderground distribution system-
dc.subjectUnderground networks-
dc.subjectUnderground systems-
dc.subjectElectric load distribution-
dc.subjectNeural networks-
dc.titleFault location in underground systems using artificial neural networks and PSCAD/EMTDCen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade de São Paulo (USP)-
dc.contributor.institutionFaculdade de Tecnologia do Estado de São Paulo (FATEC)-
dc.description.affiliationUNESP - Univ. Estadual Paulista Department of Electrical Engineering, Bauru-
dc.description.affiliationUniversity of São Paulo Department of Electrical Engineering, São Paulo-
dc.description.affiliationFATEC Department of Electrical Engineering, Bauru-
dc.description.affiliationUnespUNESP - Univ. Estadual Paulista Department of Electrical Engineering, Bauru-
dc.identifier.doi10.1109/INES.2012.6249871-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofINES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings-
dc.identifier.scopus2-s2.0-84866688600-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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