Distribution System Reconfiguration with variable demands using the Clonal selection Algorithm

Detalhes bibliográficos
Autor(a) principal: Frutuoso De Souza, Simone Silva [UNESP]
Data de Publicação: 2015
Outros Autores: Romero, Ruben [UNESP], Pereira, Jorge Manuel Correia, Saraiva, João Paulo Tomé
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ISAP.2015.7325547
http://hdl.handle.net/11449/177923
Resumo: This paper describes the application of the clonal selection algorithm to the reconfiguration problem of distribution networks considering non-uniform demand levels. The Clonal Algorithm, CLONALG, is a combinatorial optimization technique inspired in the immunologic bio system and it aims at reproducing the main properties and functions of this system. The reconfiguration problem of distribution networks with non-uniform demand levels is a complex problem that aims at identifying the most adequate radial topology of the network that complies with all technical constraints in every demand level while minimizing the cost of active losses along an extended operation period. This work includes results of the application of the Clonal algorithm to distribution systems with 33, 84 and 136 buses. These results demonstrate the robustness and efficiency of the proposed approach.
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spelling Distribution System Reconfiguration with variable demands using the Clonal selection AlgorithmArtificial Immune SystemsClonal Selection AlgorithmDistribution System ReconfigurationMixed-Integer Nonlinear Programming ProblemVariable DemandsThis paper describes the application of the clonal selection algorithm to the reconfiguration problem of distribution networks considering non-uniform demand levels. The Clonal Algorithm, CLONALG, is a combinatorial optimization technique inspired in the immunologic bio system and it aims at reproducing the main properties and functions of this system. The reconfiguration problem of distribution networks with non-uniform demand levels is a complex problem that aims at identifying the most adequate radial topology of the network that complies with all technical constraints in every demand level while minimizing the cost of active losses along an extended operation period. This work includes results of the application of the Clonal algorithm to distribution systems with 33, 84 and 136 buses. These results demonstrate the robustness and efficiency of the proposed approach.Electrical Engineering Department UNESP - Univ. Estadual PaulistaCentro de Sistemas de Energia (CPES) INESC-TEC PortoElectrical Engineering Department UNESP - Univ. Estadual PaulistaUniversidade Estadual Paulista (Unesp)INESC-TEC PortoFrutuoso De Souza, Simone Silva [UNESP]Romero, Ruben [UNESP]Pereira, Jorge Manuel CorreiaSaraiva, João Paulo Tomé2018-12-11T17:27:42Z2018-12-11T17:27:42Z2015-11-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ISAP.2015.73255472015 18th International Conference on Intelligent System Application to Power Systems, ISAP 2015.http://hdl.handle.net/11449/17792310.1109/ISAP.2015.73255472-s2.0-84962216426Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2015 18th International Conference on Intelligent System Application to Power Systems, ISAP 2015info:eu-repo/semantics/openAccess2024-07-04T19:11:38Zoai:repositorio.unesp.br:11449/177923Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:10:14.711100Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Distribution System Reconfiguration with variable demands using the Clonal selection Algorithm
title Distribution System Reconfiguration with variable demands using the Clonal selection Algorithm
spellingShingle Distribution System Reconfiguration with variable demands using the Clonal selection Algorithm
Frutuoso De Souza, Simone Silva [UNESP]
Artificial Immune Systems
Clonal Selection Algorithm
Distribution System Reconfiguration
Mixed-Integer Nonlinear Programming Problem
Variable Demands
title_short Distribution System Reconfiguration with variable demands using the Clonal selection Algorithm
title_full Distribution System Reconfiguration with variable demands using the Clonal selection Algorithm
title_fullStr Distribution System Reconfiguration with variable demands using the Clonal selection Algorithm
title_full_unstemmed Distribution System Reconfiguration with variable demands using the Clonal selection Algorithm
title_sort Distribution System Reconfiguration with variable demands using the Clonal selection Algorithm
author Frutuoso De Souza, Simone Silva [UNESP]
author_facet Frutuoso De Souza, Simone Silva [UNESP]
Romero, Ruben [UNESP]
Pereira, Jorge Manuel Correia
Saraiva, João Paulo Tomé
author_role author
author2 Romero, Ruben [UNESP]
Pereira, Jorge Manuel Correia
Saraiva, João Paulo Tomé
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
INESC-TEC Porto
dc.contributor.author.fl_str_mv Frutuoso De Souza, Simone Silva [UNESP]
Romero, Ruben [UNESP]
Pereira, Jorge Manuel Correia
Saraiva, João Paulo Tomé
dc.subject.por.fl_str_mv Artificial Immune Systems
Clonal Selection Algorithm
Distribution System Reconfiguration
Mixed-Integer Nonlinear Programming Problem
Variable Demands
topic Artificial Immune Systems
Clonal Selection Algorithm
Distribution System Reconfiguration
Mixed-Integer Nonlinear Programming Problem
Variable Demands
description This paper describes the application of the clonal selection algorithm to the reconfiguration problem of distribution networks considering non-uniform demand levels. The Clonal Algorithm, CLONALG, is a combinatorial optimization technique inspired in the immunologic bio system and it aims at reproducing the main properties and functions of this system. The reconfiguration problem of distribution networks with non-uniform demand levels is a complex problem that aims at identifying the most adequate radial topology of the network that complies with all technical constraints in every demand level while minimizing the cost of active losses along an extended operation period. This work includes results of the application of the Clonal algorithm to distribution systems with 33, 84 and 136 buses. These results demonstrate the robustness and efficiency of the proposed approach.
publishDate 2015
dc.date.none.fl_str_mv 2015-11-10
2018-12-11T17:27:42Z
2018-12-11T17:27:42Z
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/ISAP.2015.7325547
2015 18th International Conference on Intelligent System Application to Power Systems, ISAP 2015.
http://hdl.handle.net/11449/177923
10.1109/ISAP.2015.7325547
2-s2.0-84962216426
url http://dx.doi.org/10.1109/ISAP.2015.7325547
http://hdl.handle.net/11449/177923
identifier_str_mv 2015 18th International Conference on Intelligent System Application to Power Systems, ISAP 2015.
10.1109/ISAP.2015.7325547
2-s2.0-84962216426
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2015 18th International Conference on Intelligent System Application to Power Systems, ISAP 2015
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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_ 1808128904302428160

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