Optimal Reactive Power Planning Using Two-Stage Stochastic Chance-Constrained Programming

Detalhes bibliográficos
Autor(a) principal: Lopez, Julio C. [UNESP]
Data de Publicação: 2013
Outros Autores: Mantovani, J. R. S. [UNESP], Contreras Sanz, Javier, Munoz, Jose I., IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/196088
Resumo: In this paper, the optimal reactive power planning considering uncertainty is presented. The classical deterministic mixed-integer nonlinear model is expanded into two-stage stochastic model with chance-constraint. This new model considers uncertainty on the demand and the equivalent availability of the reactive power sources. The concepts of expected value of perfect information (EVPI) and the value of the stochastic solution (VSS) are also studied. Finally the proposed model is applied to IEEE 30-bus test system to determine optimal amount and location for reactive power expansion.
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spelling Optimal Reactive Power Planning Using Two-Stage Stochastic Chance-Constrained ProgrammingChance-constraintoptimal reactive power planningstochastic programminguncertaintyIn this paper, the optimal reactive power planning considering uncertainty is presented. The classical deterministic mixed-integer nonlinear model is expanded into two-stage stochastic model with chance-constraint. This new model considers uncertainty on the demand and the equivalent availability of the reactive power sources. The concepts of expected value of perfect information (EVPI) and the value of the stochastic solution (VSS) are also studied. Finally the proposed model is applied to IEEE 30-bus test system to determine optimal amount and location for reactive power expansion.Sao Paulo State Univ UNESP, Dept Elect Engn, Ilha Solteira, SP, BrazilSao Paulo State Univ UNESP, Elect Power Syst Planning Lab, Ilha Solteira, SP, BrazilUniv Castilla La Mancha, Escuela Tecn Super Ingn Ind, E-13071 Ciudad Real, SpainSao Paulo State Univ UNESP, Dept Elect Engn, Ilha Solteira, SP, BrazilSao Paulo State Univ UNESP, Elect Power Syst Planning Lab, Ilha Solteira, SP, BrazilIeeeUniversidade Estadual Paulista (Unesp)Univ Castilla La ManchaLopez, Julio C. [UNESP]Mantovani, J. R. S. [UNESP]Contreras Sanz, JavierMunoz, Jose I.IEEE2020-12-10T19:32:56Z2020-12-10T19:32:56Z2013-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject62013 Ieee Grenoble Powertech (powertech). New York: Ieee, 6 p., 2013.http://hdl.handle.net/11449/196088WOS:000387091900008Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2013 Ieee Grenoble Powertech (powertech)info:eu-repo/semantics/openAccess2024-07-04T19:11:56Zoai:repositorio.unesp.br:11449/196088Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-07-04T19:11:56Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Optimal Reactive Power Planning Using Two-Stage Stochastic Chance-Constrained Programming
title Optimal Reactive Power Planning Using Two-Stage Stochastic Chance-Constrained Programming
spellingShingle Optimal Reactive Power Planning Using Two-Stage Stochastic Chance-Constrained Programming
Lopez, Julio C. [UNESP]
Chance-constraint
optimal reactive power planning
stochastic programming
uncertainty
title_short Optimal Reactive Power Planning Using Two-Stage Stochastic Chance-Constrained Programming
title_full Optimal Reactive Power Planning Using Two-Stage Stochastic Chance-Constrained Programming
title_fullStr Optimal Reactive Power Planning Using Two-Stage Stochastic Chance-Constrained Programming
title_full_unstemmed Optimal Reactive Power Planning Using Two-Stage Stochastic Chance-Constrained Programming
title_sort Optimal Reactive Power Planning Using Two-Stage Stochastic Chance-Constrained Programming
author Lopez, Julio C. [UNESP]
author_facet Lopez, Julio C. [UNESP]
Mantovani, J. R. S. [UNESP]
Contreras Sanz, Javier
Munoz, Jose I.
IEEE
author_role author
author2 Mantovani, J. R. S. [UNESP]
Contreras Sanz, Javier
Munoz, Jose I.
IEEE
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Univ Castilla La Mancha
dc.contributor.author.fl_str_mv Lopez, Julio C. [UNESP]
Mantovani, J. R. S. [UNESP]
Contreras Sanz, Javier
Munoz, Jose I.
IEEE
dc.subject.por.fl_str_mv Chance-constraint
optimal reactive power planning
stochastic programming
uncertainty
topic Chance-constraint
optimal reactive power planning
stochastic programming
uncertainty
description In this paper, the optimal reactive power planning considering uncertainty is presented. The classical deterministic mixed-integer nonlinear model is expanded into two-stage stochastic model with chance-constraint. This new model considers uncertainty on the demand and the equivalent availability of the reactive power sources. The concepts of expected value of perfect information (EVPI) and the value of the stochastic solution (VSS) are also studied. Finally the proposed model is applied to IEEE 30-bus test system to determine optimal amount and location for reactive power expansion.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-01
2020-12-10T19:32:56Z
2020-12-10T19:32:56Z
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 2013 Ieee Grenoble Powertech (powertech). New York: Ieee, 6 p., 2013.
http://hdl.handle.net/11449/196088
WOS:000387091900008
identifier_str_mv 2013 Ieee Grenoble Powertech (powertech). New York: Ieee, 6 p., 2013.
WOS:000387091900008
url http://hdl.handle.net/11449/196088
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2013 Ieee Grenoble Powertech (powertech)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 6
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 repositoriounesp@unesp.br
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