Multi-start metaheuristic for transmission system expansion planning using a transportation model

Detalhes bibliográficos
Autor(a) principal: Da Silva, Silvia Mara Lima [UNESP]
Data de Publicação: 2018
Outros Autores: Romero, Ruben [UNESP], De Faria, Lucas Teles [UNESP]
Tipo de documento: Artigo de conferência
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/SBSE.2018.8395745
http://hdl.handle.net/11449/232773
Resumo: This work presents a multi-start metaheuristic for transmission system expansion planning. The transmission network is modelled as a transportation network. The method progresses in two stages: constructive phase and local search phase. In construction phase, the diversification is carried out where the search space is explored to obtain feasible solutions of good quality. In local search phase, the intensification is carried out. It is based on the intensive search in the vicinity of feasible solutions found in the construction phase. The test systems of Garver six-bus network, IEEE 24-bus network and Southern 46-bus network were represented using the transport model. The results demonstrate the efficiency of the adopted strategy. All the optimal solutions of the aforementioned test systems were found with a reduced number of linear programming problems solved and also with reduced computational time.
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spelling Multi-start metaheuristic for transmission system expansion planning using a transportation modelCombinatorial OptimizationMulti-Start MetaheuristicTransmission System Expansion PlanningTransportation ModelThis work presents a multi-start metaheuristic for transmission system expansion planning. The transmission network is modelled as a transportation network. The method progresses in two stages: constructive phase and local search phase. In construction phase, the diversification is carried out where the search space is explored to obtain feasible solutions of good quality. In local search phase, the intensification is carried out. It is based on the intensive search in the vicinity of feasible solutions found in the construction phase. The test systems of Garver six-bus network, IEEE 24-bus network and Southern 46-bus network were represented using the transport model. The results demonstrate the efficiency of the adopted strategy. All the optimal solutions of the aforementioned test systems were found with a reduced number of linear programming problems solved and also with reduced computational time.Departamento de Engenharia Elétrica Universidade Estadual Paulista 'Júlio de Mesquita Filho'Departamento de Engenharia de Energia Universidade Estadual Paulista 'Júlio de Mesquita Filho'Departamento de Engenharia Elétrica Universidade Estadual Paulista 'Júlio de Mesquita Filho'Departamento de Engenharia de Energia Universidade Estadual Paulista 'Júlio de Mesquita Filho'Universidade Estadual Paulista (UNESP)Da Silva, Silvia Mara Lima [UNESP]Romero, Ruben [UNESP]De Faria, Lucas Teles [UNESP]2022-04-30T10:59:36Z2022-04-30T10:59:36Z2018-06-25info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1-6http://dx.doi.org/10.1109/SBSE.2018.8395745SBSE 2018 - 7th Brazilian Electrical Systems Symposium, p. 1-6.http://hdl.handle.net/11449/23277310.1109/SBSE.2018.83957452-s2.0-85050243719Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporSBSE 2018 - 7th Brazilian Electrical Systems Symposiuminfo:eu-repo/semantics/openAccess2024-07-04T19:07:14Zoai:repositorio.unesp.br:11449/232773Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:33:31.783169Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Multi-start metaheuristic for transmission system expansion planning using a transportation model
title Multi-start metaheuristic for transmission system expansion planning using a transportation model
spellingShingle Multi-start metaheuristic for transmission system expansion planning using a transportation model
Da Silva, Silvia Mara Lima [UNESP]
Combinatorial Optimization
Multi-Start Metaheuristic
Transmission System Expansion Planning
Transportation Model
title_short Multi-start metaheuristic for transmission system expansion planning using a transportation model
title_full Multi-start metaheuristic for transmission system expansion planning using a transportation model
title_fullStr Multi-start metaheuristic for transmission system expansion planning using a transportation model
title_full_unstemmed Multi-start metaheuristic for transmission system expansion planning using a transportation model
title_sort Multi-start metaheuristic for transmission system expansion planning using a transportation model
author Da Silva, Silvia Mara Lima [UNESP]
author_facet Da Silva, Silvia Mara Lima [UNESP]
Romero, Ruben [UNESP]
De Faria, Lucas Teles [UNESP]
author_role author
author2 Romero, Ruben [UNESP]
De Faria, Lucas Teles [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Da Silva, Silvia Mara Lima [UNESP]
Romero, Ruben [UNESP]
De Faria, Lucas Teles [UNESP]
dc.subject.por.fl_str_mv Combinatorial Optimization
Multi-Start Metaheuristic
Transmission System Expansion Planning
Transportation Model
topic Combinatorial Optimization
Multi-Start Metaheuristic
Transmission System Expansion Planning
Transportation Model
description This work presents a multi-start metaheuristic for transmission system expansion planning. The transmission network is modelled as a transportation network. The method progresses in two stages: constructive phase and local search phase. In construction phase, the diversification is carried out where the search space is explored to obtain feasible solutions of good quality. In local search phase, the intensification is carried out. It is based on the intensive search in the vicinity of feasible solutions found in the construction phase. The test systems of Garver six-bus network, IEEE 24-bus network and Southern 46-bus network were represented using the transport model. The results demonstrate the efficiency of the adopted strategy. All the optimal solutions of the aforementioned test systems were found with a reduced number of linear programming problems solved and also with reduced computational time.
publishDate 2018
dc.date.none.fl_str_mv 2018-06-25
2022-04-30T10:59:36Z
2022-04-30T10:59:36Z
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/SBSE.2018.8395745
SBSE 2018 - 7th Brazilian Electrical Systems Symposium, p. 1-6.
http://hdl.handle.net/11449/232773
10.1109/SBSE.2018.8395745
2-s2.0-85050243719
url http://dx.doi.org/10.1109/SBSE.2018.8395745
http://hdl.handle.net/11449/232773
identifier_str_mv SBSE 2018 - 7th Brazilian Electrical Systems Symposium, p. 1-6.
10.1109/SBSE.2018.8395745
2-s2.0-85050243719
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv SBSE 2018 - 7th Brazilian Electrical Systems Symposium
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1-6
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)
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