Optimal reconfiguration of electrical distribution systems using mathematical programming
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , |
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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Repositório Institucional da UNESP |
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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 |
|
_version_ |
1808128926279532544 |