Reconfiguration of distribution systems by a modified genetic algorithm
Autor(a) principal: | |
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Data de Publicação: | 2007 |
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/PCT.2007.4538351 http://hdl.handle.net/11449/70026 |
Resumo: | In this paper a genetic algorithm based reconfiguration method is proposed to minimize the real power losses of distribution systems. The main innovation of this research work is that new types of crossover and mutation operators are proposed, such that the best possible results are obtained, with an acceptable computational effort. The crossover and mutation operators were developed so as to take advantage of the particular characteristics of distribution systems (as the radial topology). Simulation results indicate that the proposed method is very efficient, being able to find excellent configurations, with low computational effort, especially for larger systems. ©2007 IEEE. |
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Repositório Institucional da UNESP |
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Reconfiguration of distribution systems by a modified genetic algorithmDistribution systemsGenetic algorithmReconfigurationAlgorithmsGenetic algorithmsElectric power distributionIn this paper a genetic algorithm based reconfiguration method is proposed to minimize the real power losses of distribution systems. The main innovation of this research work is that new types of crossover and mutation operators are proposed, such that the best possible results are obtained, with an acceptable computational effort. The crossover and mutation operators were developed so as to take advantage of the particular characteristics of distribution systems (as the radial topology). Simulation results indicate that the proposed method is very efficient, being able to find excellent configurations, with low computational effort, especially for larger systems. ©2007 IEEE.School of Electrical and Computer Engineering University of Campinas (UNICAMP)School of Engineering of Ilha Solteira São Paulo State University (UNESP)School of Engineering of Ilha Solteira São Paulo State University (UNESP)Universidade Estadual de Campinas (UNICAMP)Universidade Estadual Paulista (Unesp)Guimarães, Marcos A. N.Castro, Carlos A.Romero, Rubén [UNESP]2014-05-27T11:22:39Z2014-05-27T11:22:39Z2007-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject401-406http://dx.doi.org/10.1109/PCT.2007.45383512007 IEEE Lausanne POWERTECH, Proceedings, p. 401-406.http://hdl.handle.net/11449/7002610.1109/PCT.2007.45383512-s2.0-50849107627Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2007 IEEE Lausanne POWERTECH, Proceedingsinfo:eu-repo/semantics/openAccess2024-07-04T19:11:45Zoai:repositorio.unesp.br:11449/70026Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:17:51.944999Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Reconfiguration of distribution systems by a modified genetic algorithm |
title |
Reconfiguration of distribution systems by a modified genetic algorithm |
spellingShingle |
Reconfiguration of distribution systems by a modified genetic algorithm Guimarães, Marcos A. N. Distribution systems Genetic algorithm Reconfiguration Algorithms Genetic algorithms Electric power distribution |
title_short |
Reconfiguration of distribution systems by a modified genetic algorithm |
title_full |
Reconfiguration of distribution systems by a modified genetic algorithm |
title_fullStr |
Reconfiguration of distribution systems by a modified genetic algorithm |
title_full_unstemmed |
Reconfiguration of distribution systems by a modified genetic algorithm |
title_sort |
Reconfiguration of distribution systems by a modified genetic algorithm |
author |
Guimarães, Marcos A. N. |
author_facet |
Guimarães, Marcos A. N. Castro, Carlos A. Romero, Rubén [UNESP] |
author_role |
author |
author2 |
Castro, Carlos A. Romero, Rubén [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Campinas (UNICAMP) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Guimarães, Marcos A. N. Castro, Carlos A. Romero, Rubén [UNESP] |
dc.subject.por.fl_str_mv |
Distribution systems Genetic algorithm Reconfiguration Algorithms Genetic algorithms Electric power distribution |
topic |
Distribution systems Genetic algorithm Reconfiguration Algorithms Genetic algorithms Electric power distribution |
description |
In this paper a genetic algorithm based reconfiguration method is proposed to minimize the real power losses of distribution systems. The main innovation of this research work is that new types of crossover and mutation operators are proposed, such that the best possible results are obtained, with an acceptable computational effort. The crossover and mutation operators were developed so as to take advantage of the particular characteristics of distribution systems (as the radial topology). Simulation results indicate that the proposed method is very efficient, being able to find excellent configurations, with low computational effort, especially for larger systems. ©2007 IEEE. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-12-01 2014-05-27T11:22:39Z 2014-05-27T11:22:39Z |
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/PCT.2007.4538351 2007 IEEE Lausanne POWERTECH, Proceedings, p. 401-406. http://hdl.handle.net/11449/70026 10.1109/PCT.2007.4538351 2-s2.0-50849107627 |
url |
http://dx.doi.org/10.1109/PCT.2007.4538351 http://hdl.handle.net/11449/70026 |
identifier_str_mv |
2007 IEEE Lausanne POWERTECH, Proceedings, p. 401-406. 10.1109/PCT.2007.4538351 2-s2.0-50849107627 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2007 IEEE Lausanne POWERTECH, Proceedings |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
401-406 |
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_ |
1808129184570015744 |