An implementation of modified scatter search algorithm to transmission expansion planning

Detalhes bibliográficos
Autor(a) principal: Meymand, Majid Zeinaddini
Data de Publicação: 2012
Outros Autores: Rashidinejad, Masoud, Khorasani, Hamid [UNESP], Rahmani, Mohsen [UNESP], Mahmoudabadi, Amin
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3906/elk-1104-10
http://hdl.handle.net/11449/42670
Resumo: Transmission network expansion planning (TNEP) is one of the most important tasks in the field of power systems, especially in deregulated power system environments. TNEP is a nonlinear mixed integer programming problem that can be solved via hybrid heuristic algorithms. This paper presents a modified scatter search algorithm (MSSA) to reinforce the ordinary scatter search algorithm (SSA) to be equipped for handling large scale transmission expansion planning (TEP) problems. The proposed methodology is based on the SSA, incorporating some improved strategies so as to decrease the number of linear programming problems required to be solved iteratively. In this study, it is shown that the MSSA can handle TEP problems faster than the ordinary SSA, as well as other implemented algorithms. Case studies and simulation results show the significant performance of the proposed method in comparison with some studies addressed in common literature.
id UNSP_1a4e0cacb79dfcd0622427a865b1191f
oai_identifier_str oai:repositorio.unesp.br:11449/42670
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling An implementation of modified scatter search algorithm to transmission expansion planningTransmission network expansion planningscatter search algorithmVGS algorithmmetaheuristic algorithmTransmission network expansion planning (TNEP) is one of the most important tasks in the field of power systems, especially in deregulated power system environments. TNEP is a nonlinear mixed integer programming problem that can be solved via hybrid heuristic algorithms. This paper presents a modified scatter search algorithm (MSSA) to reinforce the ordinary scatter search algorithm (SSA) to be equipped for handling large scale transmission expansion planning (TEP) problems. The proposed methodology is based on the SSA, incorporating some improved strategies so as to decrease the number of linear programming problems required to be solved iteratively. In this study, it is shown that the MSSA can handle TEP problems faster than the ordinary SSA, as well as other implemented algorithms. Case studies and simulation results show the significant performance of the proposed method in comparison with some studies addressed in common literature.Shahid Bahonar University of KermanFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Sahid Bahonar Univ Kerman, Dept Elect Engn, Kerman, IranUniv Estadual Paulista, Fac Engn Ilha Solteira, São Paulo, BrazilUniv Estadual Paulista, Fac Engn Ilha Solteira, São Paulo, BrazilFAPESP: 09/14816-7FAPESP: 10/19032-1Tubitak Scientific & Technical Research Council TurkeySahid Bahonar Univ KermanUniversidade Estadual Paulista (Unesp)Meymand, Majid ZeinaddiniRashidinejad, MasoudKhorasani, Hamid [UNESP]Rahmani, Mohsen [UNESP]Mahmoudabadi, Amin2014-05-20T15:34:51Z2014-05-20T15:34:51Z2012-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1206-1219application/pdfhttp://dx.doi.org/10.3906/elk-1104-10Turkish Journal of Electrical Engineering and Computer Sciences. Ankara: Tubitak Scientific & Technical Research Council Turkey, v. 20, p. 1206-1219, 2012.1300-0632http://hdl.handle.net/11449/4267010.3906/elk-1104-10WOS:000312424100013WOS000312424100013.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengTurkish Journal of Electrical Engineering and Computer Sciences0.5800,208info:eu-repo/semantics/openAccess2023-10-11T06:03:55Zoai:repositorio.unesp.br:11449/42670Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:35:22.109420Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv An implementation of modified scatter search algorithm to transmission expansion planning
title An implementation of modified scatter search algorithm to transmission expansion planning
spellingShingle An implementation of modified scatter search algorithm to transmission expansion planning
Meymand, Majid Zeinaddini
Transmission network expansion planning
scatter search algorithm
VGS algorithm
metaheuristic algorithm
title_short An implementation of modified scatter search algorithm to transmission expansion planning
title_full An implementation of modified scatter search algorithm to transmission expansion planning
title_fullStr An implementation of modified scatter search algorithm to transmission expansion planning
title_full_unstemmed An implementation of modified scatter search algorithm to transmission expansion planning
title_sort An implementation of modified scatter search algorithm to transmission expansion planning
author Meymand, Majid Zeinaddini
author_facet Meymand, Majid Zeinaddini
Rashidinejad, Masoud
Khorasani, Hamid [UNESP]
Rahmani, Mohsen [UNESP]
Mahmoudabadi, Amin
author_role author
author2 Rashidinejad, Masoud
Khorasani, Hamid [UNESP]
Rahmani, Mohsen [UNESP]
Mahmoudabadi, Amin
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Sahid Bahonar Univ Kerman
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Meymand, Majid Zeinaddini
Rashidinejad, Masoud
Khorasani, Hamid [UNESP]
Rahmani, Mohsen [UNESP]
Mahmoudabadi, Amin
dc.subject.por.fl_str_mv Transmission network expansion planning
scatter search algorithm
VGS algorithm
metaheuristic algorithm
topic Transmission network expansion planning
scatter search algorithm
VGS algorithm
metaheuristic algorithm
description Transmission network expansion planning (TNEP) is one of the most important tasks in the field of power systems, especially in deregulated power system environments. TNEP is a nonlinear mixed integer programming problem that can be solved via hybrid heuristic algorithms. This paper presents a modified scatter search algorithm (MSSA) to reinforce the ordinary scatter search algorithm (SSA) to be equipped for handling large scale transmission expansion planning (TEP) problems. The proposed methodology is based on the SSA, incorporating some improved strategies so as to decrease the number of linear programming problems required to be solved iteratively. In this study, it is shown that the MSSA can handle TEP problems faster than the ordinary SSA, as well as other implemented algorithms. Case studies and simulation results show the significant performance of the proposed method in comparison with some studies addressed in common literature.
publishDate 2012
dc.date.none.fl_str_mv 2012-01-01
2014-05-20T15:34:51Z
2014-05-20T15:34:51Z
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/10.3906/elk-1104-10
Turkish Journal of Electrical Engineering and Computer Sciences. Ankara: Tubitak Scientific & Technical Research Council Turkey, v. 20, p. 1206-1219, 2012.
1300-0632
http://hdl.handle.net/11449/42670
10.3906/elk-1104-10
WOS:000312424100013
WOS000312424100013.pdf
url http://dx.doi.org/10.3906/elk-1104-10
http://hdl.handle.net/11449/42670
identifier_str_mv Turkish Journal of Electrical Engineering and Computer Sciences. Ankara: Tubitak Scientific & Technical Research Council Turkey, v. 20, p. 1206-1219, 2012.
1300-0632
10.3906/elk-1104-10
WOS:000312424100013
WOS000312424100013.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Turkish Journal of Electrical Engineering and Computer Sciences
0.580
0,208
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1206-1219
application/pdf
dc.publisher.none.fl_str_mv Tubitak Scientific & Technical Research Council Turkey
publisher.none.fl_str_mv Tubitak Scientific & Technical Research Council Turkey
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_ 1808128384317784064