Transmission Network Expansion Planning Considering Multiple Generation Scenarios

Detalhes bibliográficos
Autor(a) principal: Escobar, A. H.
Data de Publicação: 2008
Outros Autores: Romero, R. A. [UNESP], Gallego, R. A., IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/194699
Resumo: This paper presents a mathematical model and a methodology to solve a transmission network expansion planning problem considering open access. The methodology rinds the optimal transmission network expansion plan that allows the power system to operate adequately in an environment with multiples generation scenarios. The model presented is solved using a specialized genetic algorithm. The methodology is tested in a system from the literature.
id UNSP_c6fcb97f1699cc6891c8b2efe72bcb17
oai_identifier_str oai:repositorio.unesp.br:11449/194699
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Transmission Network Expansion Planning Considering Multiple Generation ScenariosDC modellong-term transmission network expansion planningmultiple generation scenariosspecialized genetic algorithmThis paper presents a mathematical model and a methodology to solve a transmission network expansion planning problem considering open access. The methodology rinds the optimal transmission network expansion plan that allows the power system to operate adequately in an environment with multiples generation scenarios. The model presented is solved using a specialized genetic algorithm. The methodology is tested in a system from the literature.Brazilian Institution FEPISAUniversidad Tecnologica de Pereira-ColombiaUniv Tecnol Pereira, Pereira Risaralda, ColombiaUniv Estadual Paulista, Fac Engn Ilha Solteira, Sao Paulo, BrazilUniv Estadual Paulista, Fac Engn Ilha Solteira, Sao Paulo, BrazilIeeeUniv Tecnol PereiraUniversidade Estadual Paulista (Unesp)Escobar, A. H.Romero, R. A. [UNESP]Gallego, R. A.IEEE2020-12-10T16:34:53Z2020-12-10T16:34:53Z2008-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject711-+2008 Ieee/pes Transmission And Distribution Conference And Exposition: Latin America, Vols 1 And 2. New York: Ieee, p. 711-+, 2008.2381-3571http://hdl.handle.net/11449/194699WOS:000263861200117Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2008 Ieee/pes Transmission And Distribution Conference And Exposition: Latin America, Vols 1 And 2info:eu-repo/semantics/openAccess2021-10-22T20:11:17Zoai:repositorio.unesp.br:11449/194699Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:56:02.382876Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Transmission Network Expansion Planning Considering Multiple Generation Scenarios
title Transmission Network Expansion Planning Considering Multiple Generation Scenarios
spellingShingle Transmission Network Expansion Planning Considering Multiple Generation Scenarios
Escobar, A. H.
DC model
long-term transmission network expansion planning
multiple generation scenarios
specialized genetic algorithm
title_short Transmission Network Expansion Planning Considering Multiple Generation Scenarios
title_full Transmission Network Expansion Planning Considering Multiple Generation Scenarios
title_fullStr Transmission Network Expansion Planning Considering Multiple Generation Scenarios
title_full_unstemmed Transmission Network Expansion Planning Considering Multiple Generation Scenarios
title_sort Transmission Network Expansion Planning Considering Multiple Generation Scenarios
author Escobar, A. H.
author_facet Escobar, A. H.
Romero, R. A. [UNESP]
Gallego, R. A.
IEEE
author_role author
author2 Romero, R. A. [UNESP]
Gallego, R. A.
IEEE
author2_role author
author
author
dc.contributor.none.fl_str_mv Univ Tecnol Pereira
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Escobar, A. H.
Romero, R. A. [UNESP]
Gallego, R. A.
IEEE
dc.subject.por.fl_str_mv DC model
long-term transmission network expansion planning
multiple generation scenarios
specialized genetic algorithm
topic DC model
long-term transmission network expansion planning
multiple generation scenarios
specialized genetic algorithm
description This paper presents a mathematical model and a methodology to solve a transmission network expansion planning problem considering open access. The methodology rinds the optimal transmission network expansion plan that allows the power system to operate adequately in an environment with multiples generation scenarios. The model presented is solved using a specialized genetic algorithm. The methodology is tested in a system from the literature.
publishDate 2008
dc.date.none.fl_str_mv 2008-01-01
2020-12-10T16:34:53Z
2020-12-10T16:34:53Z
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 2008 Ieee/pes Transmission And Distribution Conference And Exposition: Latin America, Vols 1 And 2. New York: Ieee, p. 711-+, 2008.
2381-3571
http://hdl.handle.net/11449/194699
WOS:000263861200117
identifier_str_mv 2008 Ieee/pes Transmission And Distribution Conference And Exposition: Latin America, Vols 1 And 2. New York: Ieee, p. 711-+, 2008.
2381-3571
WOS:000263861200117
url http://hdl.handle.net/11449/194699
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2008 Ieee/pes Transmission And Distribution Conference And Exposition: Latin America, Vols 1 And 2
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 711-+
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
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_ 1808128723280461824