A practical codification and its analysis for the generalized reconfiguration problem.

Distribution network reconfiguration problem is simply aimed at finding the best set of radial configurations among a huge number of possibilities. Each solution of this set ensures optimal operation of the system without violating any prescribed constraint. To solve such problem, it is important to...

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Detalles Bibliográficos
Autores: Barbosa, Carlos Henrique Nogueira de Resende, Alexandre, Rafael Frederico, Vasconcelos, João Antônio de
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2013
País:Brasil
Institución:Universidade Federal de Ouro Preto (UFOP)
Repositorio:Repositório Institucional da UFOP
Idioma:inglés
OAI Identifier:oai:repositorio.ufop.br:123456789/4412
Acceso en línea:http://www.repositorio.ufop.br/handle/123456789/4412
https://doi.org/10.1016/j.epsr.2012.12.002
Access Level:acceso abierto
Palabra clave:Radial distribution networks
Multi-objective
Constrained optimization problem
Graph theory
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spelling A practical codification and its analysis for the generalized reconfiguration problem.Radial distribution networksMulti-objectiveConstrained optimization problemGraph theoryDistribution network reconfiguration problem is simply aimed at finding the best set of radial configurations among a huge number of possibilities. Each solution of this set ensures optimal operation of the system without violating any prescribed constraint. To solve such problem, it is important to count on efficient procedure to enforce radiality. In this paper, we propose a reliable approach to deal properly with topology constraint enabling algorithm convergence toward optimal or quasi-optimal solutions. A simple and practical codification of individuals used in evolutionary algorithms to solve the generalized reconfiguration problem is detailed in this paper. Mathematical formulation, algorithm, and simulation results are presented for the distribution reconfiguration problem, incorporating a new representation scheme which is immune to topologically unfeasible possibilities. The individual interpretation procedure is straight and it demands no additional data structure or graph preprocessing. Comparisons are made for five well-known distribution systems to demonstrate the efficacy of the proposed methodology. It is also demonstrated that optimal configurations are properly surveyed when single or multiple sources are dealt.2015-01-28T19:50:11Z2015-01-28T19:50:11Z2013info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfBARBOSA, C. H. N. de R.; ALEXANDRE, R. F.; VASCONCELOS, J. A. de. A practical codification and its analysis for the generalized reconfiguration problem. International Journal of Electrical Power & Energy Systems, v. 97, p. 19-33, 2013. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0378779612003549>. Acesso em: 09 jan. 2015.http://www.repositorio.ufop.br/handle/123456789/4412https://doi.org/10.1016/j.epsr.2012.12.002ark:/61566/00130000071x6O periódico Electric Power Systems Research concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3544811175726.info:eu-repo/semantics/openAccessengreponame:Repositório Institucional da UFOPinstname:Universidade Federal de Ouro Preto (UFOP)instacron:UFOPBarbosa, Carlos Henrique Nogueira de ResendeAlexandre, Rafael FredericoVasconcelos, João Antônio de2024-11-10T18:16:24Zoai:repositorio.ufop.br:123456789/4412Repositório InstitucionalPUBhttp://www.repositorio.ufop.br/oai/requestrepositorio@ufop.edu.bropendoar:32332024-11-10T18:16:24Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)false
dc.title.none.fl_str_mv A practical codification and its analysis for the generalized reconfiguration problem.
title A practical codification and its analysis for the generalized reconfiguration problem.
spellingShingle A practical codification and its analysis for the generalized reconfiguration problem.
Barbosa, Carlos Henrique Nogueira de Resende
Radial distribution networks
Multi-objective
Constrained optimization problem
Graph theory
title_short A practical codification and its analysis for the generalized reconfiguration problem.
title_full A practical codification and its analysis for the generalized reconfiguration problem.
title_fullStr A practical codification and its analysis for the generalized reconfiguration problem.
title_full_unstemmed A practical codification and its analysis for the generalized reconfiguration problem.
title_sort A practical codification and its analysis for the generalized reconfiguration problem.
dc.creator.none.fl_str_mv Barbosa, Carlos Henrique Nogueira de Resende
Alexandre, Rafael Frederico
Vasconcelos, João Antônio de
author Barbosa, Carlos Henrique Nogueira de Resende
author_facet Barbosa, Carlos Henrique Nogueira de Resende
Alexandre, Rafael Frederico
Vasconcelos, João Antônio de
author_role author
author2 Alexandre, Rafael Frederico
Vasconcelos, João Antônio de
author2_role author
author
dc.subject.por.fl_str_mv Radial distribution networks
Multi-objective
Constrained optimization problem
Graph theory
topic Radial distribution networks
Multi-objective
Constrained optimization problem
Graph theory
description Distribution network reconfiguration problem is simply aimed at finding the best set of radial configurations among a huge number of possibilities. Each solution of this set ensures optimal operation of the system without violating any prescribed constraint. To solve such problem, it is important to count on efficient procedure to enforce radiality. In this paper, we propose a reliable approach to deal properly with topology constraint enabling algorithm convergence toward optimal or quasi-optimal solutions. A simple and practical codification of individuals used in evolutionary algorithms to solve the generalized reconfiguration problem is detailed in this paper. Mathematical formulation, algorithm, and simulation results are presented for the distribution reconfiguration problem, incorporating a new representation scheme which is immune to topologically unfeasible possibilities. The individual interpretation procedure is straight and it demands no additional data structure or graph preprocessing. Comparisons are made for five well-known distribution systems to demonstrate the efficacy of the proposed methodology. It is also demonstrated that optimal configurations are properly surveyed when single or multiple sources are dealt.
publishDate 2013
dc.date.none.fl_str_mv 2013
2015-01-28T19:50:11Z
2015-01-28T19:50:11Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv BARBOSA, C. H. N. de R.; ALEXANDRE, R. F.; VASCONCELOS, J. A. de. A practical codification and its analysis for the generalized reconfiguration problem. International Journal of Electrical Power & Energy Systems, v. 97, p. 19-33, 2013. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0378779612003549>. Acesso em: 09 jan. 2015.
http://www.repositorio.ufop.br/handle/123456789/4412
https://doi.org/10.1016/j.epsr.2012.12.002
dc.identifier.dark.fl_str_mv ark:/61566/00130000071x6
identifier_str_mv BARBOSA, C. H. N. de R.; ALEXANDRE, R. F.; VASCONCELOS, J. A. de. A practical codification and its analysis for the generalized reconfiguration problem. International Journal of Electrical Power & Energy Systems, v. 97, p. 19-33, 2013. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0378779612003549>. Acesso em: 09 jan. 2015.
ark:/61566/00130000071x6
url http://www.repositorio.ufop.br/handle/123456789/4412
https://doi.org/10.1016/j.epsr.2012.12.002
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFOP
instname:Universidade Federal de Ouro Preto (UFOP)
instacron:UFOP
instname_str Universidade Federal de Ouro Preto (UFOP)
instacron_str UFOP
institution UFOP
reponame_str Repositório Institucional da UFOP
collection Repositório Institucional da UFOP
repository.name.fl_str_mv Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)
repository.mail.fl_str_mv repositorio@ufop.edu.br
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