A strategy for transmission network expansion planning considering multiple generation scenarios

Detalhes bibliográficos
Autor(a) principal: Freitas, Patricia F. S. [UNESP]
Data de Publicação: 2019
Outros Autores: Macedo, Leonardo H. [UNESP], Romero, Ruben [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.epsr.2019.02.018
http://hdl.handle.net/11449/185715
Resumo: Transmission network expansion planning (TNEP) is subject to several constraints that are driven by new market rules, such as generation uncertainty, demand growth, seasonal climate changes and technological advances. When considering multiple generation scenarios, due to different operational conditions, it is necessary to find an expansion plan that allows the expanded system to operate properly for each scenario. This paper presents a strategy that provides several expansion plans that operate efficiently in all the previously defined generation scenarios and that keep reasonable values for the expansion costs. Thus, the developed mathematical model allows us to find adequate expansion plans with expansion costs that can be controlled, with small infeasibilities in the operation of the system that may not be significant in the long-term planning. The proposed approach is applied to the 24-bus system and the Colombian 93-bus system. The results indicate that the plans obtained using the proposed strategy present much lower expansion costs compared to the conventional TNEP model with multiple generation scenarios, with very low infeasibilities in the operation of the system, which can be corrected in the short-term expansion planning.
id UNSP_674d3e241f74c076a778ba64a5d5a346
oai_identifier_str oai:repositorio.unesp.br:11449/185715
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling A strategy for transmission network expansion planning considering multiple generation scenariosGeneration scenariosMixed-integer linear programmingPower systems optimisationTransmission network expansion planningTransmission network expansion planning (TNEP) is subject to several constraints that are driven by new market rules, such as generation uncertainty, demand growth, seasonal climate changes and technological advances. When considering multiple generation scenarios, due to different operational conditions, it is necessary to find an expansion plan that allows the expanded system to operate properly for each scenario. This paper presents a strategy that provides several expansion plans that operate efficiently in all the previously defined generation scenarios and that keep reasonable values for the expansion costs. Thus, the developed mathematical model allows us to find adequate expansion plans with expansion costs that can be controlled, with small infeasibilities in the operation of the system that may not be significant in the long-term planning. The proposed approach is applied to the 24-bus system and the Colombian 93-bus system. The results indicate that the plans obtained using the proposed strategy present much lower expansion costs compared to the conventional TNEP model with multiple generation scenarios, with very low infeasibilities in the operation of the system, which can be corrected in the short-term expansion planning.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Sao Paulo State Univ, Dept Elect Engn, Ave Brasil 56, BR-15385000 Ilha Solteira, SP, BrazilSao Paulo State Univ, Dept Elect Engn, Ave Brasil 56, BR-15385000 Ilha Solteira, SP, BrazilCAPES: 001CNPq: 305852/2017-5FAPESP: 2014/23741-9FAPESP: 2015/21972-6Elsevier B.V.Universidade Estadual Paulista (Unesp)Freitas, Patricia F. S. [UNESP]Macedo, Leonardo H. [UNESP]Romero, Ruben [UNESP]2019-10-04T12:37:55Z2019-10-04T12:37:55Z2019-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article22-31http://dx.doi.org/10.1016/j.epsr.2019.02.018Electric Power Systems Research. Lausanne: Elsevier Science Sa, v. 172, p. 22-31, 2019.0378-7796http://hdl.handle.net/11449/18571510.1016/j.epsr.2019.02.018WOS:000468013200003Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengElectric Power Systems Researchinfo:eu-repo/semantics/openAccess2024-07-04T19:05:50Zoai:repositorio.unesp.br:11449/185715Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:51:54.390735Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A strategy for transmission network expansion planning considering multiple generation scenarios
title A strategy for transmission network expansion planning considering multiple generation scenarios
spellingShingle A strategy for transmission network expansion planning considering multiple generation scenarios
Freitas, Patricia F. S. [UNESP]
Generation scenarios
Mixed-integer linear programming
Power systems optimisation
Transmission network expansion planning
title_short A strategy for transmission network expansion planning considering multiple generation scenarios
title_full A strategy for transmission network expansion planning considering multiple generation scenarios
title_fullStr A strategy for transmission network expansion planning considering multiple generation scenarios
title_full_unstemmed A strategy for transmission network expansion planning considering multiple generation scenarios
title_sort A strategy for transmission network expansion planning considering multiple generation scenarios
author Freitas, Patricia F. S. [UNESP]
author_facet Freitas, Patricia F. S. [UNESP]
Macedo, Leonardo H. [UNESP]
Romero, Ruben [UNESP]
author_role author
author2 Macedo, Leonardo H. [UNESP]
Romero, Ruben [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Freitas, Patricia F. S. [UNESP]
Macedo, Leonardo H. [UNESP]
Romero, Ruben [UNESP]
dc.subject.por.fl_str_mv Generation scenarios
Mixed-integer linear programming
Power systems optimisation
Transmission network expansion planning
topic Generation scenarios
Mixed-integer linear programming
Power systems optimisation
Transmission network expansion planning
description Transmission network expansion planning (TNEP) is subject to several constraints that are driven by new market rules, such as generation uncertainty, demand growth, seasonal climate changes and technological advances. When considering multiple generation scenarios, due to different operational conditions, it is necessary to find an expansion plan that allows the expanded system to operate properly for each scenario. This paper presents a strategy that provides several expansion plans that operate efficiently in all the previously defined generation scenarios and that keep reasonable values for the expansion costs. Thus, the developed mathematical model allows us to find adequate expansion plans with expansion costs that can be controlled, with small infeasibilities in the operation of the system that may not be significant in the long-term planning. The proposed approach is applied to the 24-bus system and the Colombian 93-bus system. The results indicate that the plans obtained using the proposed strategy present much lower expansion costs compared to the conventional TNEP model with multiple generation scenarios, with very low infeasibilities in the operation of the system, which can be corrected in the short-term expansion planning.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-04T12:37:55Z
2019-10-04T12:37:55Z
2019-07-01
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/10.1016/j.epsr.2019.02.018
Electric Power Systems Research. Lausanne: Elsevier Science Sa, v. 172, p. 22-31, 2019.
0378-7796
http://hdl.handle.net/11449/185715
10.1016/j.epsr.2019.02.018
WOS:000468013200003
url http://dx.doi.org/10.1016/j.epsr.2019.02.018
http://hdl.handle.net/11449/185715
identifier_str_mv Electric Power Systems Research. Lausanne: Elsevier Science Sa, v. 172, p. 22-31, 2019.
0378-7796
10.1016/j.epsr.2019.02.018
WOS:000468013200003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Electric Power Systems Research
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 22-31
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
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_ 1808128427693178880