Transmission network expansion planning considering multiple generation scenarios
Autor(a) principal: | |
---|---|
Data de Publicação: | 2008 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/TDC-LA.2008.4641804 http://hdl.handle.net/11449/70675 |
Resumo: | This paper presents a mathematical model and a methodology to solve a transmission network expansion planning problem considering open access. The methodology finds 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. ©2008 IEEE. |
id |
UNSP_1c6fd075fcedd80a944f2c270cf29a4a |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/70675 |
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 algorithmOpen AccessOptimal transmission networksPower systemsTransmission network expansion planningElectric network topologyGenetic algorithmsMathematical modelsElectric power transmission networksThis paper presents a mathematical model and a methodology to solve a transmission network expansion planning problem considering open access. The methodology finds 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. ©2008 IEEE.Universidad Tecnólogica de Pereira, Pereira - RisaraldaFaculty of Engineering of Ilha Solteira Paulista State University, Ilha Solteira - SPFaculty of Engineering of Ilha Solteira Paulista State University, Ilha Solteira - SPUniversidad Tecnólogica de PereiraUniversidade Estadual Paulista (Unesp)Escobar Z, Antonio H.Romero, Rubén A. [UNESP]Gallego R, Ramón A.2014-05-27T11:23:43Z2014-05-27T11:23:43Z2008-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/TDC-LA.2008.46418042008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA.http://hdl.handle.net/11449/7067510.1109/TDC-LA.2008.46418042-s2.0-67650470801Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LAinfo:eu-repo/semantics/openAccess2024-07-04T19:11:49Zoai:repositorio.unesp.br:11449/70675Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:24:58.654002Repositório 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 Z, Antonio H. DC model Long-term transmission network expansion planning Multiple generation scenarios Specialized genetic algorithm Open Access Optimal transmission networks Power systems Transmission network expansion planning Electric network topology Genetic algorithms Mathematical models Electric power transmission networks |
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 Z, Antonio H. |
author_facet |
Escobar Z, Antonio H. Romero, Rubén A. [UNESP] Gallego R, Ramón A. |
author_role |
author |
author2 |
Romero, Rubén A. [UNESP] Gallego R, Ramón A. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidad Tecnólogica de Pereira Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Escobar Z, Antonio H. Romero, Rubén A. [UNESP] Gallego R, Ramón A. |
dc.subject.por.fl_str_mv |
DC model Long-term transmission network expansion planning Multiple generation scenarios Specialized genetic algorithm Open Access Optimal transmission networks Power systems Transmission network expansion planning Electric network topology Genetic algorithms Mathematical models Electric power transmission networks |
topic |
DC model Long-term transmission network expansion planning Multiple generation scenarios Specialized genetic algorithm Open Access Optimal transmission networks Power systems Transmission network expansion planning Electric network topology Genetic algorithms Mathematical models Electric power transmission networks |
description |
This paper presents a mathematical model and a methodology to solve a transmission network expansion planning problem considering open access. The methodology finds 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. ©2008 IEEE. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-12-01 2014-05-27T11:23:43Z 2014-05-27T11:23:43Z |
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/TDC-LA.2008.4641804 2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA. http://hdl.handle.net/11449/70675 10.1109/TDC-LA.2008.4641804 2-s2.0-67650470801 |
url |
http://dx.doi.org/10.1109/TDC-LA.2008.4641804 http://hdl.handle.net/11449/70675 |
identifier_str_mv |
2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA. 10.1109/TDC-LA.2008.4641804 2-s2.0-67650470801 |
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, T and D-LA |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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_ |
1808129317592367104 |