Optimal reconfiguration of electrical distribution systems using mathematical programming

Detalhes bibliográficos
Autor(a) principal: Borges, Marlon C. O. [UNESP]
Data de Publicação: 2014
Outros Autores: Franco, John F. [UNESP], Rider, Marcos J. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s40313-013-0070-x
http://hdl.handle.net/11449/171536
Resumo: This paper presents a novel mixed integer nonlinear programming (MINLP) model for the reconfiguration problem of electrical distribution systems (EDS), aiming to reduce the active power losses of the system. Two linearization techniques are applied in the MINLP model to obtain an equivalent mixed integer linear programming (MILP) model. The use of an MILP model guarantees convergence to optimality using existing optimization software. The proposed MILP model represents, with a suitable degree of accuracy, the steady-state operation of the EDS. Considering the typical operating conditions of the EDS, additional constraints are included in the proposed MILP model to reduce the computational effort demanded by its solution. The results of four test systems (33, 70, 136, and 417 nodes) are presented in order to show the accuracy as well as the efficiency of the proposed solution technique. © Brazilian Society for Automatics-SBA 2013.
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spelling Optimal reconfiguration of electrical distribution systems using mathematical programmingActive power losses reductionMixed integer linear programmingReconfiguration of electric power distribution systemsThis paper presents a novel mixed integer nonlinear programming (MINLP) model for the reconfiguration problem of electrical distribution systems (EDS), aiming to reduce the active power losses of the system. Two linearization techniques are applied in the MINLP model to obtain an equivalent mixed integer linear programming (MILP) model. The use of an MILP model guarantees convergence to optimality using existing optimization software. The proposed MILP model represents, with a suitable degree of accuracy, the steady-state operation of the EDS. Considering the typical operating conditions of the EDS, additional constraints are included in the proposed MILP model to reduce the computational effort demanded by its solution. The results of four test systems (33, 70, 136, and 417 nodes) are presented in order to show the accuracy as well as the efficiency of the proposed solution technique. © Brazilian Society for Automatics-SBA 2013.Departamento de Engenharia Elétrica, Universidade Estadual Paulista (UNESP), Ilha Solteira, São PauloDepartamento de Engenharia Elétrica, Universidade Estadual Paulista (UNESP), Ilha Solteira, São PauloUniversidade Estadual Paulista (Unesp)Borges, Marlon C. O. [UNESP]Franco, John F. [UNESP]Rider, Marcos J. [UNESP]2018-12-11T16:55:44Z2018-12-11T16:55:44Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article103-111application/pdfhttp://dx.doi.org/10.1007/s40313-013-0070-xJournal of Control, Automation and Electrical Systems, v. 25, n. 1, p. 103-111, 2014.2195-38992195-3880http://hdl.handle.net/11449/17153610.1007/s40313-013-0070-x2-s2.0-848990562332-s2.0-84899056233.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Control, Automation and Electrical Systems0,2740,274info:eu-repo/semantics/openAccess2024-07-04T19:06:14Zoai:repositorio.unesp.br:11449/171536Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:23:35.950507Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Optimal reconfiguration of electrical distribution systems using mathematical programming
title Optimal reconfiguration of electrical distribution systems using mathematical programming
spellingShingle Optimal reconfiguration of electrical distribution systems using mathematical programming
Borges, Marlon C. O. [UNESP]
Active power losses reduction
Mixed integer linear programming
Reconfiguration of electric power distribution systems
title_short Optimal reconfiguration of electrical distribution systems using mathematical programming
title_full Optimal reconfiguration of electrical distribution systems using mathematical programming
title_fullStr Optimal reconfiguration of electrical distribution systems using mathematical programming
title_full_unstemmed Optimal reconfiguration of electrical distribution systems using mathematical programming
title_sort Optimal reconfiguration of electrical distribution systems using mathematical programming
author Borges, Marlon C. O. [UNESP]
author_facet Borges, Marlon C. O. [UNESP]
Franco, John F. [UNESP]
Rider, Marcos J. [UNESP]
author_role author
author2 Franco, John F. [UNESP]
Rider, Marcos J. [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Borges, Marlon C. O. [UNESP]
Franco, John F. [UNESP]
Rider, Marcos J. [UNESP]
dc.subject.por.fl_str_mv Active power losses reduction
Mixed integer linear programming
Reconfiguration of electric power distribution systems
topic Active power losses reduction
Mixed integer linear programming
Reconfiguration of electric power distribution systems
description This paper presents a novel mixed integer nonlinear programming (MINLP) model for the reconfiguration problem of electrical distribution systems (EDS), aiming to reduce the active power losses of the system. Two linearization techniques are applied in the MINLP model to obtain an equivalent mixed integer linear programming (MILP) model. The use of an MILP model guarantees convergence to optimality using existing optimization software. The proposed MILP model represents, with a suitable degree of accuracy, the steady-state operation of the EDS. Considering the typical operating conditions of the EDS, additional constraints are included in the proposed MILP model to reduce the computational effort demanded by its solution. The results of four test systems (33, 70, 136, and 417 nodes) are presented in order to show the accuracy as well as the efficiency of the proposed solution technique. © Brazilian Society for Automatics-SBA 2013.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01
2018-12-11T16:55:44Z
2018-12-11T16:55:44Z
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 http://dx.doi.org/10.1007/s40313-013-0070-x
Journal of Control, Automation and Electrical Systems, v. 25, n. 1, p. 103-111, 2014.
2195-3899
2195-3880
http://hdl.handle.net/11449/171536
10.1007/s40313-013-0070-x
2-s2.0-84899056233
2-s2.0-84899056233.pdf
url http://dx.doi.org/10.1007/s40313-013-0070-x
http://hdl.handle.net/11449/171536
identifier_str_mv Journal of Control, Automation and Electrical Systems, v. 25, n. 1, p. 103-111, 2014.
2195-3899
2195-3880
10.1007/s40313-013-0070-x
2-s2.0-84899056233
2-s2.0-84899056233.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Control, Automation and Electrical Systems
0,274
0,274
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 103-111
application/pdf
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
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