Long term transmission expansion planning considering generation-demand scenarios and HVDC lines

Detalhes bibliográficos
Autor(a) principal: Escobar, V. Laura Mónica [UNESP]
Data de Publicação: 2017
Outros Autores: Romero, L. Rubén A. [UNESP], Escobar, Z. Antonio H., Gallego, R. Ramón A.
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.2016.7805617
http://hdl.handle.net/11449/220815
Resumo: This paper presents a mathematical model and a methodology to solve the transmission expansion planning problem considering generation-demand scenarios and alternative investments using High Voltage Direct Current (HVDC) links. The methodology determines the optimal expansion plan that allows the power system to operate properly in an environment with extreme generation scenarios and multiple demand scenarios obtained for the pessimistic and optimistic scenarios projected. The multiple generation-demand scenarios produced high investment cost for the future network but this cost can be reduced including HVDC links in the expansion alternatives. The planning problem is solved using C++ and CPLEX. The methodology is tested on the modified Garver system with good results.
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spelling Long term transmission expansion planning considering generation-demand scenarios and HVDC linesDemand ScenariosExtreme Generation ScenariosHVDCOptimizationTransmission Network Expansion PlanningThis paper presents a mathematical model and a methodology to solve the transmission expansion planning problem considering generation-demand scenarios and alternative investments using High Voltage Direct Current (HVDC) links. The methodology determines the optimal expansion plan that allows the power system to operate properly in an environment with extreme generation scenarios and multiple demand scenarios obtained for the pessimistic and optimistic scenarios projected. The multiple generation-demand scenarios produced high investment cost for the future network but this cost can be reduced including HVDC links in the expansion alternatives. The planning problem is solved using C++ and CPLEX. The methodology is tested on the modified Garver system with good results.Department of Electrical Engineering Sao Paulo State UniversityDepartment of Electrical Engineering Technological University of PereiraDepartment of Electrical Engineering Sao Paulo State UniversityUniversidade Estadual Paulista (UNESP)Technological University of PereiraEscobar, V. Laura Mónica [UNESP]Romero, L. Rubén A. [UNESP]Escobar, Z. Antonio H.Gallego, R. Ramón A.2022-04-28T19:05:45Z2022-04-28T19:05:45Z2017-01-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/TDC-LA.2016.78056172016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016.http://hdl.handle.net/11449/22081510.1109/TDC-LA.2016.78056172-s2.0-85016217626Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016info:eu-repo/semantics/openAccess2022-04-28T19:05:45Zoai:repositorio.unesp.br:11449/220815Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:11:50.898619Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Long term transmission expansion planning considering generation-demand scenarios and HVDC lines
title Long term transmission expansion planning considering generation-demand scenarios and HVDC lines
spellingShingle Long term transmission expansion planning considering generation-demand scenarios and HVDC lines
Escobar, V. Laura Mónica [UNESP]
Demand Scenarios
Extreme Generation Scenarios
HVDC
Optimization
Transmission Network Expansion Planning
title_short Long term transmission expansion planning considering generation-demand scenarios and HVDC lines
title_full Long term transmission expansion planning considering generation-demand scenarios and HVDC lines
title_fullStr Long term transmission expansion planning considering generation-demand scenarios and HVDC lines
title_full_unstemmed Long term transmission expansion planning considering generation-demand scenarios and HVDC lines
title_sort Long term transmission expansion planning considering generation-demand scenarios and HVDC lines
author Escobar, V. Laura Mónica [UNESP]
author_facet Escobar, V. Laura Mónica [UNESP]
Romero, L. Rubén A. [UNESP]
Escobar, Z. Antonio H.
Gallego, R. Ramón A.
author_role author
author2 Romero, L. Rubén A. [UNESP]
Escobar, Z. Antonio H.
Gallego, R. Ramón A.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Technological University of Pereira
dc.contributor.author.fl_str_mv Escobar, V. Laura Mónica [UNESP]
Romero, L. Rubén A. [UNESP]
Escobar, Z. Antonio H.
Gallego, R. Ramón A.
dc.subject.por.fl_str_mv Demand Scenarios
Extreme Generation Scenarios
HVDC
Optimization
Transmission Network Expansion Planning
topic Demand Scenarios
Extreme Generation Scenarios
HVDC
Optimization
Transmission Network Expansion Planning
description This paper presents a mathematical model and a methodology to solve the transmission expansion planning problem considering generation-demand scenarios and alternative investments using High Voltage Direct Current (HVDC) links. The methodology determines the optimal expansion plan that allows the power system to operate properly in an environment with extreme generation scenarios and multiple demand scenarios obtained for the pessimistic and optimistic scenarios projected. The multiple generation-demand scenarios produced high investment cost for the future network but this cost can be reduced including HVDC links in the expansion alternatives. The planning problem is solved using C++ and CPLEX. The methodology is tested on the modified Garver system with good results.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-04
2022-04-28T19:05:45Z
2022-04-28T19:05:45Z
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.2016.7805617
2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016.
http://hdl.handle.net/11449/220815
10.1109/TDC-LA.2016.7805617
2-s2.0-85016217626
url http://dx.doi.org/10.1109/TDC-LA.2016.7805617
http://hdl.handle.net/11449/220815
identifier_str_mv 2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016.
10.1109/TDC-LA.2016.7805617
2-s2.0-85016217626
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016
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_ 1808129498519961600

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