Planning of Distribution Systems Using Mixed-Integer Linear Programming Models Considering Network Reliability
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s40313-014-0165-z http://hdl.handle.net/11449/160607 |
Resumo: | In this paper, a two-stage solution methodology for distribution network planning considering reliability indices improvement is proposed. This methodology comprises optimal distribution network expansion and improves network reliability by allocating sectionalizing switches and interconnection circuits (tie line circuits). The optimal expansion problem of radial aerial distribution systems is formulated as a mixed binary linear programming (MILP) problem aiming to reduce the investment and operational costs, subject to physical and operational constraints. The allocation of controlled sectionalizing switches and interconnection circuits is also formulated as a MILP in order to improve the network reliability indices. A pseudo-dynamic planning method is used to solve planning and reliability models through a heuristic technique that first solves the planning model followed by the solution of the reliability model, in each stage of planning horizon. Numerical results are presented for a 54-bus distribution system from literature. |
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Repositório Institucional da UNESP |
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Planning of Distribution Systems Using Mixed-Integer Linear Programming Models Considering Network ReliabilityDistribution systems planningReliability indicesMixed integer linear programmingMathematical modelsIn this paper, a two-stage solution methodology for distribution network planning considering reliability indices improvement is proposed. This methodology comprises optimal distribution network expansion and improves network reliability by allocating sectionalizing switches and interconnection circuits (tie line circuits). The optimal expansion problem of radial aerial distribution systems is formulated as a mixed binary linear programming (MILP) problem aiming to reduce the investment and operational costs, subject to physical and operational constraints. The allocation of controlled sectionalizing switches and interconnection circuits is also formulated as a MILP in order to improve the network reliability indices. A pseudo-dynamic planning method is used to solve planning and reliability models through a heuristic technique that first solves the planning model followed by the solution of the reliability model, in each stage of planning horizon. Numerical results are presented for a 54-bus distribution system from literature.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)FEPISAUniv Fed Mato Grosso, Dept Matemat, Cuiaba, MT, BrazilUniv Estadual Paulista, Fac Engn Ilha Solteira, Dept Engn Eletr, Sao Paulo, BrazilUniv Estadual Paulista, Fac Engn Ilha Solteira, Dept Engn Eletr, Sao Paulo, BrazilCNPq: 305371/2012-6SpringerUniversidade Federal de Mato Grosso do Sul (UFMS)Universidade Estadual Paulista (Unesp)Souza, Joao deRider, Marcos J. [UNESP]Sanches Mantovani, Jose Roberto [UNESP]2018-11-26T16:05:15Z2018-11-26T16:05:15Z2015-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article170-179application/pdfhttp://dx.doi.org/10.1007/s40313-014-0165-zJournal Of Control Automation And Electrical Systems. New York: Springer, v. 26, n. 2, p. 170-179, 2015.2195-3880http://hdl.handle.net/11449/16060710.1007/s40313-014-0165-zWOS:000214883400007WOS000214883400007.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal Of Control Automation And Electrical Systems0,274info:eu-repo/semantics/openAccess2024-07-04T19:06:36Zoai:repositorio.unesp.br:11449/160607Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:29:52.520770Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Planning of Distribution Systems Using Mixed-Integer Linear Programming Models Considering Network Reliability |
title |
Planning of Distribution Systems Using Mixed-Integer Linear Programming Models Considering Network Reliability |
spellingShingle |
Planning of Distribution Systems Using Mixed-Integer Linear Programming Models Considering Network Reliability Souza, Joao de Distribution systems planning Reliability indices Mixed integer linear programming Mathematical models |
title_short |
Planning of Distribution Systems Using Mixed-Integer Linear Programming Models Considering Network Reliability |
title_full |
Planning of Distribution Systems Using Mixed-Integer Linear Programming Models Considering Network Reliability |
title_fullStr |
Planning of Distribution Systems Using Mixed-Integer Linear Programming Models Considering Network Reliability |
title_full_unstemmed |
Planning of Distribution Systems Using Mixed-Integer Linear Programming Models Considering Network Reliability |
title_sort |
Planning of Distribution Systems Using Mixed-Integer Linear Programming Models Considering Network Reliability |
author |
Souza, Joao de |
author_facet |
Souza, Joao de Rider, Marcos J. [UNESP] Sanches Mantovani, Jose Roberto [UNESP] |
author_role |
author |
author2 |
Rider, Marcos J. [UNESP] Sanches Mantovani, Jose Roberto [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Mato Grosso do Sul (UFMS) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Souza, Joao de Rider, Marcos J. [UNESP] Sanches Mantovani, Jose Roberto [UNESP] |
dc.subject.por.fl_str_mv |
Distribution systems planning Reliability indices Mixed integer linear programming Mathematical models |
topic |
Distribution systems planning Reliability indices Mixed integer linear programming Mathematical models |
description |
In this paper, a two-stage solution methodology for distribution network planning considering reliability indices improvement is proposed. This methodology comprises optimal distribution network expansion and improves network reliability by allocating sectionalizing switches and interconnection circuits (tie line circuits). The optimal expansion problem of radial aerial distribution systems is formulated as a mixed binary linear programming (MILP) problem aiming to reduce the investment and operational costs, subject to physical and operational constraints. The allocation of controlled sectionalizing switches and interconnection circuits is also formulated as a MILP in order to improve the network reliability indices. A pseudo-dynamic planning method is used to solve planning and reliability models through a heuristic technique that first solves the planning model followed by the solution of the reliability model, in each stage of planning horizon. Numerical results are presented for a 54-bus distribution system from literature. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-04-01 2018-11-26T16:05:15Z 2018-11-26T16:05:15Z |
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/s40313-014-0165-z Journal Of Control Automation And Electrical Systems. New York: Springer, v. 26, n. 2, p. 170-179, 2015. 2195-3880 http://hdl.handle.net/11449/160607 10.1007/s40313-014-0165-z WOS:000214883400007 WOS000214883400007.pdf |
url |
http://dx.doi.org/10.1007/s40313-014-0165-z http://hdl.handle.net/11449/160607 |
identifier_str_mv |
Journal Of Control Automation And Electrical Systems. New York: Springer, v. 26, n. 2, p. 170-179, 2015. 2195-3880 10.1007/s40313-014-0165-z WOS:000214883400007 WOS000214883400007.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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
170-179 application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
Web of Science 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_ |
1808129326399356928 |