Improved Disjunctive Models for the Transmission Expansion Planning
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/218636 |
Resumo: | This paper presents two improved disjunctive models for the transmission expansion planning problem, with the inclusion of additional critic cycles has been developed by the authors in recent works, in order to improve some of the traditional long-term transmission network expansion planning problem models. The reason behind it is the absence of Kirchhoff second law which completes the representation of the transmission system, but increase the complexity, making some big-sized problems impossible to solve depending of their topology. This improvement will allow the model to be solve the majority of the test systems with less computational effort and in less time. For specific cases the improved models help find better solution, which can be used as an starting point to find the optimal solution. The new models are implemented in AMPL, using the solver CPLEX. This paper uses the Colombian test system to illustrate the effectiveness of the proposed framework. |
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Improved Disjunctive Models for the Transmission Expansion PlanningMathematical modelingmixed-integer linear programmingtransmission expansion planningimproved disjunctive transportation modelThis paper presents two improved disjunctive models for the transmission expansion planning problem, with the inclusion of additional critic cycles has been developed by the authors in recent works, in order to improve some of the traditional long-term transmission network expansion planning problem models. The reason behind it is the absence of Kirchhoff second law which completes the representation of the transmission system, but increase the complexity, making some big-sized problems impossible to solve depending of their topology. This improvement will allow the model to be solve the majority of the test systems with less computational effort and in less time. For specific cases the improved models help find better solution, which can be used as an starting point to find the optimal solution. The new models are implemented in AMPL, using the solver CPLEX. This paper uses the Colombian test system to illustrate the effectiveness of the proposed framework.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)Univ Tecnol Pereira, Elect Engn Dept, Pereira, Risaralda, ColombiaUniv Tecnol Pereira, Elect Technol Dept, Pereira, Risaralda, ColombiaSao Paulo State Univ UNESP, Elect Engn Dept, Ilha Solteira, SP, BrazilSao Paulo State Univ UNESP, Elect Engn Dept, Ilha Solteira, SP, BrazilCNPq: 142150/2015-0FAPESP: 2015/21972-6IeeeUniv Tecnol PereiraUniversidade Estadual Paulista (UNESP)Escobar, Laura M.Escobar, Antonio H.Romero, Ruben A. L. [UNESP]IEEE2022-04-28T17:22:05Z2022-04-28T17:22:05Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject52020 Ieee Power & Energy Society General Meeting (pesgm). New York: Ieee, 5 p., 2020.1944-9925http://hdl.handle.net/11449/218636WOS:000679246600210Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2020 Ieee Power & Energy Society General Meeting (pesgm)info:eu-repo/semantics/openAccess2024-07-04T19:11:55Zoai:repositorio.unesp.br:11449/218636Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:10:24.787031Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Improved Disjunctive Models for the Transmission Expansion Planning |
title |
Improved Disjunctive Models for the Transmission Expansion Planning |
spellingShingle |
Improved Disjunctive Models for the Transmission Expansion Planning Escobar, Laura M. Mathematical modeling mixed-integer linear programming transmission expansion planning improved disjunctive transportation model |
title_short |
Improved Disjunctive Models for the Transmission Expansion Planning |
title_full |
Improved Disjunctive Models for the Transmission Expansion Planning |
title_fullStr |
Improved Disjunctive Models for the Transmission Expansion Planning |
title_full_unstemmed |
Improved Disjunctive Models for the Transmission Expansion Planning |
title_sort |
Improved Disjunctive Models for the Transmission Expansion Planning |
author |
Escobar, Laura M. |
author_facet |
Escobar, Laura M. Escobar, Antonio H. Romero, Ruben A. L. [UNESP] IEEE |
author_role |
author |
author2 |
Escobar, Antonio H. Romero, Ruben A. L. [UNESP] 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, Laura M. Escobar, Antonio H. Romero, Ruben A. L. [UNESP] IEEE |
dc.subject.por.fl_str_mv |
Mathematical modeling mixed-integer linear programming transmission expansion planning improved disjunctive transportation model |
topic |
Mathematical modeling mixed-integer linear programming transmission expansion planning improved disjunctive transportation model |
description |
This paper presents two improved disjunctive models for the transmission expansion planning problem, with the inclusion of additional critic cycles has been developed by the authors in recent works, in order to improve some of the traditional long-term transmission network expansion planning problem models. The reason behind it is the absence of Kirchhoff second law which completes the representation of the transmission system, but increase the complexity, making some big-sized problems impossible to solve depending of their topology. This improvement will allow the model to be solve the majority of the test systems with less computational effort and in less time. For specific cases the improved models help find better solution, which can be used as an starting point to find the optimal solution. The new models are implemented in AMPL, using the solver CPLEX. This paper uses the Colombian test system to illustrate the effectiveness of the proposed framework. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 2022-04-28T17:22:05Z 2022-04-28T17:22:05Z |
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 |
2020 Ieee Power & Energy Society General Meeting (pesgm). New York: Ieee, 5 p., 2020. 1944-9925 http://hdl.handle.net/11449/218636 WOS:000679246600210 |
identifier_str_mv |
2020 Ieee Power & Energy Society General Meeting (pesgm). New York: Ieee, 5 p., 2020. 1944-9925 WOS:000679246600210 |
url |
http://hdl.handle.net/11449/218636 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2020 Ieee Power & Energy Society General Meeting (pesgm) |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
5 |
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_ |
1808129497057198080 |