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://dx.doi.org/10.1109/PESGM41954.2020.9281594 http://hdl.handle.net/11449/207109 |
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 planningImproved disjunctive transportation modelMathematical modelingMixed-integer linear programmingTransmission expansion planningThis 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.Universidad Tecnológica de Pereira Electrical Engineering Department Electrical Technology DepartmentSão Paulo State University (UNESP) Ilha Solteira Electrical Engineering DepartmentSão Paulo State University (UNESP) Ilha Solteira Electrical Engineering DepartmentElectrical Technology DepartmentUniversidade Estadual Paulista (Unesp)Escobar, Laura M.Escobar, Antonio H.Romero, Ruben A. [UNESP]2021-06-25T10:49:08Z2021-06-25T10:49:08Z2020-08-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PESGM41954.2020.9281594IEEE Power and Energy Society General Meeting, v. 2020-August.1944-99331944-9925http://hdl.handle.net/11449/20710910.1109/PESGM41954.2020.92815942-s2.0-85099151932Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Power and Energy Society General Meetinginfo:eu-repo/semantics/openAccess2021-10-23T15:25:29Zoai:repositorio.unesp.br:11449/207109Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T15:25:29Repositório 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. Improved disjunctive transportation model Mathematical modeling Mixed-integer linear programming Transmission expansion planning |
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. [UNESP] |
author_role |
author |
author2 |
Escobar, Antonio H. Romero, Ruben A. [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Electrical Technology Department Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Escobar, Laura M. Escobar, Antonio H. Romero, Ruben A. [UNESP] |
dc.subject.por.fl_str_mv |
Improved disjunctive transportation model Mathematical modeling Mixed-integer linear programming Transmission expansion planning |
topic |
Improved disjunctive transportation model Mathematical modeling Mixed-integer linear programming Transmission expansion planning |
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 |
2020-08-02 2021-06-25T10:49:08Z 2021-06-25T10:49:08Z |
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/PESGM41954.2020.9281594 IEEE Power and Energy Society General Meeting, v. 2020-August. 1944-9933 1944-9925 http://hdl.handle.net/11449/207109 10.1109/PESGM41954.2020.9281594 2-s2.0-85099151932 |
url |
http://dx.doi.org/10.1109/PESGM41954.2020.9281594 http://hdl.handle.net/11449/207109 |
identifier_str_mv |
IEEE Power and Energy Society General Meeting, v. 2020-August. 1944-9933 1944-9925 10.1109/PESGM41954.2020.9281594 2-s2.0-85099151932 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE Power and Energy Society General Meeting |
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_ |
1803046664110342144 |