Electric power systems transient stability analysis by neural networks
Autor(a) principal: | |
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Data de Publicação: | 1995 |
Outros Autores: | |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/MWSCAS.1995.510337 http://hdl.handle.net/11449/64681 |
Resumo: | This 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. |
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Repositório Institucional da UNESP |
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Electric power systems transient stability analysis by neural networksAdaptive algorithmsBackpropagationComputational methodsComputer simulationElectric power transmissionFeedforward neural networksFunctionsIterative methodsShort circuit currentsSynchronous machineryTransientsTransmission line theoryCritical clearing timeNeuron weightQuadratic error gradientShort circuit faultsTransient stability analysisElectric power systemsThis 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.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)UNESP, Ilha SolteiraUNESP, Ilha SolteiraCPNq: 521870/94-1Universidade Estadual Paulista (Unesp)Minussi, Carlos R. [UNESP]Silveira, Maria do Carmo G [UNESP]2014-05-27T11:18:02Z2014-05-27T11:18:02Z1995-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1305-1308http://dx.doi.org/10.1109/MWSCAS.1995.510337Midwest Symposium on Circuits and Systems, v. 2, p. 1305-1308.http://hdl.handle.net/11449/6468110.1109/MWSCAS.1995.510337WOS:A1996BF75Z003232-s2.0-0029463113Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMidwest Symposium on Circuits and Systemsinfo:eu-repo/semantics/openAccess2024-07-04T19:11:21Zoai:repositorio.unesp.br:11449/64681Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:04:46.433906Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Electric power systems transient stability analysis by neural networks |
title |
Electric power systems transient stability analysis by neural networks |
spellingShingle |
Electric power systems transient stability analysis by neural networks Minussi, Carlos R. [UNESP] Adaptive algorithms Backpropagation Computational methods Computer simulation Electric power transmission Feedforward neural networks Functions Iterative methods Short circuit currents Synchronous machinery Transients Transmission line theory Critical clearing time Neuron weight Quadratic error gradient Short circuit faults Transient stability analysis Electric power systems |
title_short |
Electric power systems transient stability analysis by neural networks |
title_full |
Electric power systems transient stability analysis by neural networks |
title_fullStr |
Electric power systems transient stability analysis by neural networks |
title_full_unstemmed |
Electric power systems transient stability analysis by neural networks |
title_sort |
Electric power systems transient stability analysis by neural networks |
author |
Minussi, Carlos R. [UNESP] |
author_facet |
Minussi, Carlos R. [UNESP] Silveira, Maria do Carmo G [UNESP] |
author_role |
author |
author2 |
Silveira, Maria do Carmo G [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Minussi, Carlos R. [UNESP] Silveira, Maria do Carmo G [UNESP] |
dc.subject.por.fl_str_mv |
Adaptive algorithms Backpropagation Computational methods Computer simulation Electric power transmission Feedforward neural networks Functions Iterative methods Short circuit currents Synchronous machinery Transients Transmission line theory Critical clearing time Neuron weight Quadratic error gradient Short circuit faults Transient stability analysis Electric power systems |
topic |
Adaptive algorithms Backpropagation Computational methods Computer simulation Electric power transmission Feedforward neural networks Functions Iterative methods Short circuit currents Synchronous machinery Transients Transmission line theory Critical clearing time Neuron weight Quadratic error gradient Short circuit faults Transient stability analysis Electric power systems |
description |
This 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. |
publishDate |
1995 |
dc.date.none.fl_str_mv |
1995-12-01 2014-05-27T11:18:02Z 2014-05-27T11:18:02Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/MWSCAS.1995.510337 Midwest Symposium on Circuits and Systems, v. 2, p. 1305-1308. http://hdl.handle.net/11449/64681 10.1109/MWSCAS.1995.510337 WOS:A1996BF75Z00323 2-s2.0-0029463113 |
url |
http://dx.doi.org/10.1109/MWSCAS.1995.510337 http://hdl.handle.net/11449/64681 |
identifier_str_mv |
Midwest Symposium on Circuits and Systems, v. 2, p. 1305-1308. 10.1109/MWSCAS.1995.510337 WOS:A1996BF75Z00323 2-s2.0-0029463113 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Midwest Symposium on Circuits and Systems |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1305-1308 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128456115879936 |