Transmission network expansion planning considering uncertainness in demand

Detalhes bibliográficos
Autor(a) principal: Silva, Irênio De J.
Data de Publicação: 2005
Outros Autores: Rider, Marcos J., Romero, Rubén [UNESP], Murari, Carlos A.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/231770
Resumo: This paper presents a mathematical model and a methodology to solve the transmission network expansion planning problem considering uncertainness in demand. The methodology allows us to find an optimal transmission network expansion plan that allows the power system operates adequately in an environment with uncertainness. The model presented is solved using a genetic algorithm designed to solve the expansion planning with uncertainness in demand in an efficient way. The results obtained for several known systems from the literature show the excellent performance of the proposed methodology. © 2005 IEEE.
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spelling Transmission network expansion planning considering uncertainness in demandThis paper presents a mathematical model and a methodology to solve the transmission network expansion planning problem considering uncertainness in demand. The methodology allows us to find an optimal transmission network expansion plan that allows the power system operates adequately in an environment with uncertainness. The model presented is solved using a genetic algorithm designed to solve the expansion planning with uncertainness in demand in an efficient way. The results obtained for several known systems from the literature show the excellent performance of the proposed methodology. © 2005 IEEE.Department of Electrical Engineering State University of Campinas, Campinas - SPFaculty of Engineering of Ilna Solteira Paulista State University, Ilna Solteira - SPFaculty of Engineering of Ilna Solteira Paulista State University, Ilna Solteira - SPUniversidade Estadual de Campinas (UNICAMP)Universidade Estadual Paulista (UNESP)Silva, Irênio De J.Rider, Marcos J.Romero, Rubén [UNESP]Murari, Carlos A.2022-04-29T08:47:23Z2022-04-29T08:47:23Z2005-10-31info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1424-14292005 IEEE Power Engineering Society General Meeting, v. 2, p. 1424-1429.http://hdl.handle.net/11449/2317702-s2.0-27144441465Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2005 IEEE Power Engineering Society General Meetinginfo:eu-repo/semantics/openAccess2024-07-04T19:11:27Zoai:repositorio.unesp.br:11449/231770Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:09:00.515045Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Transmission network expansion planning considering uncertainness in demand
title Transmission network expansion planning considering uncertainness in demand
spellingShingle Transmission network expansion planning considering uncertainness in demand
Silva, Irênio De J.
title_short Transmission network expansion planning considering uncertainness in demand
title_full Transmission network expansion planning considering uncertainness in demand
title_fullStr Transmission network expansion planning considering uncertainness in demand
title_full_unstemmed Transmission network expansion planning considering uncertainness in demand
title_sort Transmission network expansion planning considering uncertainness in demand
author Silva, Irênio De J.
author_facet Silva, Irênio De J.
Rider, Marcos J.
Romero, Rubén [UNESP]
Murari, Carlos A.
author_role author
author2 Rider, Marcos J.
Romero, Rubén [UNESP]
Murari, Carlos A.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual de Campinas (UNICAMP)
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Silva, Irênio De J.
Rider, Marcos J.
Romero, Rubén [UNESP]
Murari, Carlos A.
description This paper presents a mathematical model and a methodology to solve the transmission network expansion planning problem considering uncertainness in demand. The methodology allows us to find an optimal transmission network expansion plan that allows the power system operates adequately in an environment with uncertainness. The model presented is solved using a genetic algorithm designed to solve the expansion planning with uncertainness in demand in an efficient way. The results obtained for several known systems from the literature show the excellent performance of the proposed methodology. © 2005 IEEE.
publishDate 2005
dc.date.none.fl_str_mv 2005-10-31
2022-04-29T08:47:23Z
2022-04-29T08:47:23Z
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 2005 IEEE Power Engineering Society General Meeting, v. 2, p. 1424-1429.
http://hdl.handle.net/11449/231770
2-s2.0-27144441465
identifier_str_mv 2005 IEEE Power Engineering Society General Meeting, v. 2, p. 1424-1429.
2-s2.0-27144441465
url http://hdl.handle.net/11449/231770
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2005 IEEE Power Engineering Society General Meeting
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1424-1429
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_ 1808128612088414208

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