A computational tool to assist the analysis of the transformer behavior related to lightning

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dc.contributor.authorde Souza, Andre N. [UNESP]
dc.contributor.authorZago, Maria G. [UNESP]
dc.contributor.authorSaavedra, Osvaldo R. [UNESP]
dc.contributor.authorOba Ramos, Caio C. [UNESP]
dc.contributor.authorFerraz, Kleber [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:27:17Z
dc.date.available2014-05-20T13:27:17Z
dc.date.issued2011-03-01
dc.description.abstractThis paper proposes the application of computational intelligence techniques to assist complex problems concerning lightning in transformers. In order to estimate the currents related to lightning in a transformer, a neural tool is presented. ATP has generated the training vectors. The input variables used in Artificial Neural Networks (ANN) were the wave front time, the wave tail time, the voltage variation rate and the output variable is the maximum current in the secondary of the transformer. These parameters can define the behavior and severity of lightning. Based on these concepts and from the results obtained, it can be verified that the overvoltages at the secondary of transformer are also affected by the discharge waveform in a similar way to the primary side. By using the tool developed, the high voltage process in the distribution transformers can be mapped and estimated with more precision aiding the transformer project process, minimizing empirics and evaluation errors, and contributing to minimize the failure rate of transformers. (C) 2011 Elsevier Ltd. All rights reserved.en
dc.description.affiliationUniv Estadual Paulista UNESP, Lab Power Syst & Intelligent Tech, BR-17033360 Bauru, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista UNESP, Lab Power Syst & Intelligent Tech, BR-17033360 Bauru, SP, Brazil
dc.format.extent556-561
dc.identifierhttp://dx.doi.org/10.1016/j.ijepes.2010.11.009
dc.identifier.citationInternational Journal of Electrical Power & Energy Systems. Oxford: Elsevier B.V., v. 33, n. 3, p. 556-561, 2011.
dc.identifier.doi10.1016/j.ijepes.2010.11.009
dc.identifier.issn0142-0615
dc.identifier.lattes8212775960494686
dc.identifier.urihttp://hdl.handle.net/11449/8932
dc.identifier.wosWOS:000288842800025
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofInternational Journal of Electrical Power & Energy Systems
dc.relation.ispartofjcr3.610
dc.relation.ispartofsjr1,276
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectATP/EMTPen
dc.subjectIntelligent techniquesen
dc.subjectLightningen
dc.subjectOvervoltagesen
dc.subjectTransformersen
dc.titleA computational tool to assist the analysis of the transformer behavior related to lightningen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
unesp.author.lattes8212775960494686[1]
unesp.author.orcid0000-0002-8617-5404[1]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Baurupt

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Artigos - Engenharia Elétrica - FEB