Transmission network expansion planning considering uncertainty in generation and demand

Detalhes bibliográficos
Autor(a) principal: Escobar Z, Antonio H.
Data de Publicação: 2008
Outros Autores: Romero, Rubén A. [UNESP], 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.2008.4641803
http://hdl.handle.net/11449/70674
Resumo: This paper presents a mathematical model and a methodology to solve a transmission network expansion planning problem considering uncertainty in demand and generation. The methodology used to solve the problem, finds the optimal transmission network expansion plan that allows the power system to operate adequately in an environment with uncertainty. The model presented results in an optimization problem that is solved using a specialized genetic algorithm. The results obtained for known systems from the literature show that cheaper plans can be found satisfying the uncertainty in demand and generation. ©2008 IEEE.
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spelling Transmission network expansion planning considering uncertainty in generation and demandDC modelExpansion planningGenetic algorithmLong-termOptimizationTransmission networkUncertainty in demandUncertainty in generationElectric network topologyElectric power transmission networksGenetic algorithmsMathematical modelsProblem solvingThis paper presents a mathematical model and a methodology to solve a transmission network expansion planning problem considering uncertainty in demand and generation. The methodology used to solve the problem, finds the optimal transmission network expansion plan that allows the power system to operate adequately in an environment with uncertainty. The model presented results in an optimization problem that is solved using a specialized genetic algorithm. The results obtained for known systems from the literature show that cheaper plans can be found satisfying the uncertainty in demand and generation. ©2008 IEEE.Universidad Tecnólogica de Pereira, Pereira - RisaraldaFaculty of Engineering of Ilha Soheira Paulista State University, Ilha Solteira - SPFaculty of Engineering of Ilha Soheira Paulista State University, Ilha Solteira - SPUniversidad Tecnólogica de PereiraUniversidade Estadual Paulista (Unesp)Escobar Z, Antonio H.Romero, Rubén A. [UNESP]Gallego R, Ramón A.2014-05-27T11:23:43Z2014-05-27T11:23:43Z2008-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/TDC-LA.2008.46418032008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA.http://hdl.handle.net/11449/7067410.1109/TDC-LA.2008.46418032-s2.0-67650475765Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LAinfo:eu-repo/semantics/openAccess2021-10-23T21:41:29Zoai:repositorio.unesp.br:11449/70674Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:41:29Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Transmission network expansion planning considering uncertainty in generation and demand
title Transmission network expansion planning considering uncertainty in generation and demand
spellingShingle Transmission network expansion planning considering uncertainty in generation and demand
Escobar Z, Antonio H.
DC model
Expansion planning
Genetic algorithm
Long-term
Optimization
Transmission network
Uncertainty in demand
Uncertainty in generation
Electric network topology
Electric power transmission networks
Genetic algorithms
Mathematical models
Problem solving
title_short Transmission network expansion planning considering uncertainty in generation and demand
title_full Transmission network expansion planning considering uncertainty in generation and demand
title_fullStr Transmission network expansion planning considering uncertainty in generation and demand
title_full_unstemmed Transmission network expansion planning considering uncertainty in generation and demand
title_sort Transmission network expansion planning considering uncertainty in generation and demand
author Escobar Z, Antonio H.
author_facet Escobar Z, Antonio H.
Romero, Rubén A. [UNESP]
Gallego R, Ramón A.
author_role author
author2 Romero, Rubén A. [UNESP]
Gallego R, Ramón A.
author2_role author
author
dc.contributor.none.fl_str_mv Universidad Tecnólogica de Pereira
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Escobar Z, Antonio H.
Romero, Rubén A. [UNESP]
Gallego R, Ramón A.
dc.subject.por.fl_str_mv DC model
Expansion planning
Genetic algorithm
Long-term
Optimization
Transmission network
Uncertainty in demand
Uncertainty in generation
Electric network topology
Electric power transmission networks
Genetic algorithms
Mathematical models
Problem solving
topic DC model
Expansion planning
Genetic algorithm
Long-term
Optimization
Transmission network
Uncertainty in demand
Uncertainty in generation
Electric network topology
Electric power transmission networks
Genetic algorithms
Mathematical models
Problem solving
description This paper presents a mathematical model and a methodology to solve a transmission network expansion planning problem considering uncertainty in demand and generation. The methodology used to solve the problem, finds the optimal transmission network expansion plan that allows the power system to operate adequately in an environment with uncertainty. The model presented results in an optimization problem that is solved using a specialized genetic algorithm. The results obtained for known systems from the literature show that cheaper plans can be found satisfying the uncertainty in demand and generation. ©2008 IEEE.
publishDate 2008
dc.date.none.fl_str_mv 2008-12-01
2014-05-27T11:23:43Z
2014-05-27T11:23:43Z
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.2008.4641803
2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA.
http://hdl.handle.net/11449/70674
10.1109/TDC-LA.2008.4641803
2-s2.0-67650475765
url http://dx.doi.org/10.1109/TDC-LA.2008.4641803
http://hdl.handle.net/11449/70674
identifier_str_mv 2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA.
10.1109/TDC-LA.2008.4641803
2-s2.0-67650475765
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA
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_ 1799965513105801216

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