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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/64681
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dc.contributor.authorMinussi, Carlos R.-
dc.contributor.authorSilveira, Maria do Carmo G-
dc.date.accessioned2014-05-27T11:18:02Z-
dc.date.accessioned2016-10-25T18:13:39Z-
dc.date.available2014-05-27T11:18:02Z-
dc.date.available2016-10-25T18:13:39Z-
dc.date.issued1995-12-01-
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.urihttp://hdl.handle.net/11449/64681-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/64681-
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.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
dc.format.extent1305-1308-
dc.language.isoeng-
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.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUNESP, Ilha Solteira-
dc.description.affiliationUnespUNESP, Ilha Solteira-
dc.description.sponsorshipIdCPNq: 521870/94-1-
dc.identifier.doi10.1109/MWSCAS.1995.510337-
dc.identifier.wosWOS:A1996BF75Z00323-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofMidwest Symposium on Circuits and Systems-
dc.identifier.scopus2-s2.0-0029463113-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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