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], Sanz, Javier Contreras, Munoz, Jose I.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/PTC.2013.6652087
http://hdl.handle.net/11449/227395
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. © 2013 IEEE.
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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. © 2013 IEEE.Department of Electrical Engineering Electric Power Systems Planning Laboratory São Paulo State University - UNESP, Ilha Solteira, SPEscuela Técnica Superior de Ingenieros Industriales Universidad de Castilla - la Mancha, 13071, Ciudad RealDepartment of Electrical Engineering Electric Power Systems Planning Laboratory São Paulo State University - UNESP, Ilha Solteira, SPUniversidade Estadual Paulista (UNESP)Universidad de Castilla - la ManchaLopez, Julio C. [UNESP]Mantovani, J. R.S. [UNESP]Sanz, Javier ContrerasMunoz, Jose I.2022-04-29T07:12:58Z2022-04-29T07:12:58Z2013-12-27info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PTC.2013.66520872013 IEEE Grenoble Conference PowerTech, POWERTECH 2013.http://hdl.handle.net/11449/22739510.1109/PTC.2013.66520872-s2.0-84890868521Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013info:eu-repo/semantics/openAccess2022-04-29T07:12:58Zoai:repositorio.unesp.br:11449/227395Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-29T07:12:58Repositório 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]
Sanz, Javier Contreras
Munoz, Jose I.
author_role author
author2 Mantovani, J. R.S. [UNESP]
Sanz, Javier Contreras
Munoz, Jose I.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidad de Castilla - la Mancha
dc.contributor.author.fl_str_mv Lopez, Julio C. [UNESP]
Mantovani, J. R.S. [UNESP]
Sanz, Javier Contreras
Munoz, Jose I.
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. © 2013 IEEE.
publishDate 2013
dc.date.none.fl_str_mv 2013-12-27
2022-04-29T07:12:58Z
2022-04-29T07:12:58Z
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/PTC.2013.6652087
2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013.
http://hdl.handle.net/11449/227395
10.1109/PTC.2013.6652087
2-s2.0-84890868521
url http://dx.doi.org/10.1109/PTC.2013.6652087
http://hdl.handle.net/11449/227395
identifier_str_mv 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013.
10.1109/PTC.2013.6652087
2-s2.0-84890868521
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013
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
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