Electric power systems transient stability analysis by neural networks

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dc.contributor.authorMinussi, Carlos R. [UNESP]
dc.contributor.authorSilveira, Maria do Carmo G [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:18:02Z
dc.date.available2014-05-27T11:18:02Z
dc.date.issued1995-12-01
dc.description.abstractThis work aims to investigate the use of artificial neural networks in the analysis of the transient stability of Electric Power Systems (determination of critical clearing time for short-circuit faults type with electric power transmission line outage), using a supervised feedforward neural network. To illustrate the proposed methodology, it is presented an application considering a system having by 08 synchronous machines, 23 transmission lines, and 17 buses.en
dc.description.affiliationUNESP, Ilha Solteira
dc.description.affiliationUnespUNESP, Ilha Solteira
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdCPNq: 521870/94-1
dc.format.extent1305-1308
dc.identifierhttp://dx.doi.org/10.1109/MWSCAS.1995.510337
dc.identifier.citationMidwest Symposium on Circuits and Systems, v. 2, p. 1305-1308.
dc.identifier.doi10.1109/MWSCAS.1995.510337
dc.identifier.scopus2-s2.0-0029463113
dc.identifier.urihttp://hdl.handle.net/11449/64681
dc.identifier.wosWOS:A1996BF75Z00323
dc.language.isoeng
dc.relation.ispartofMidwest Symposium on Circuits and Systems
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectAdaptive algorithms
dc.subjectBackpropagation
dc.subjectComputational methods
dc.subjectComputer simulation
dc.subjectElectric power transmission
dc.subjectFeedforward neural networks
dc.subjectFunctions
dc.subjectIterative methods
dc.subjectShort circuit currents
dc.subjectSynchronous machinery
dc.subjectTransients
dc.subjectTransmission line theory
dc.subjectCritical clearing time
dc.subjectNeuron weight
dc.subjectQuadratic error gradient
dc.subjectShort circuit faults
dc.subjectTransient stability analysis
dc.subjectElectric power systems
dc.titleElectric power systems transient stability analysis by neural networksen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://dx.doi.org/10.1109/MWSCAS.1995.510337
unesp.author.lattes7166279400544764[1]
unesp.author.orcid0000-0001-6428-4506[1]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Ilha Solteirapt

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Artigos - Engenharia Elétrica - FEIS