A strategy for transmission network expansion planning considering multiple generation scenarios
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
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. |
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Repositório Institucional da UNESP |
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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 |