An implementation of modified scatter search algorithm to transmission expansion planning
Autor(a) principal: | |
---|---|
Data de Publicação: | 2012 |
Outros Autores: | , , , |
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 |