Optimal reactive power planning using risk analysis
Autor(a) principal: | |
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Data de Publicação: | 2013 |
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/PESMG.2013.6672114 http://hdl.handle.net/11449/227525 |
Resumo: | In this paper, the optimal reactive power planning problem under risk is presented. The classical mixed-integer nonlinear model for reactive power planning is expanded into two stage stochastic model considering risk. This new model considers uncertainty on the demand load. The risk is quantified by a factor introduced into the objective function and is identified as the variance of the random variables. Finally numerical results illustrate the performance of the proposed model, that is applied to IEEE 30-bus test system to determine optimal amount and location for reactive power expansion. © 2013 IEEE. |
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Repositório Institucional da UNESP |
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Optimal reactive power planning using risk analysisMean-variancereactive power planningstochastic programmingtwo - stageuncertaintyIn this paper, the optimal reactive power planning problem under risk is presented. The classical mixed-integer nonlinear model for reactive power planning is expanded into two stage stochastic model considering risk. This new model considers uncertainty on the demand load. The risk is quantified by a factor introduced into the objective function and is identified as the variance of the random variables. Finally numerical results illustrate the performance of the proposed model, that 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 SolteiraEscuela 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 SolteiraUniversidade Estadual Paulista (UNESP)Universidad de Castilla - la ManchaLopez, Julio C. [UNESP]Mantovani, J. R.S. [UNESP]Contreras Sanz, JavierMunoz, Jose I.2022-04-29T07:13:46Z2022-04-29T07:13:46Z2013-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PESMG.2013.6672114IEEE Power and Energy Society General Meeting.1944-99251944-9933http://hdl.handle.net/11449/22752510.1109/PESMG.2013.66721142-s2.0-84893204571Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Power and Energy Society General Meetinginfo:eu-repo/semantics/openAccess2024-07-04T19:11:45Zoai:repositorio.unesp.br:11449/227525Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:29:04.976036Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Optimal reactive power planning using risk analysis |
title |
Optimal reactive power planning using risk analysis |
spellingShingle |
Optimal reactive power planning using risk analysis Lopez, Julio C. [UNESP] Mean-variance reactive power planning stochastic programming two - stage uncertainty |
title_short |
Optimal reactive power planning using risk analysis |
title_full |
Optimal reactive power planning using risk analysis |
title_fullStr |
Optimal reactive power planning using risk analysis |
title_full_unstemmed |
Optimal reactive power planning using risk analysis |
title_sort |
Optimal reactive power planning using risk analysis |
author |
Lopez, Julio C. [UNESP] |
author_facet |
Lopez, Julio C. [UNESP] Mantovani, J. R.S. [UNESP] Contreras Sanz, Javier Munoz, Jose I. |
author_role |
author |
author2 |
Mantovani, J. R.S. [UNESP] Contreras Sanz, Javier 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] Contreras Sanz, Javier Munoz, Jose I. |
dc.subject.por.fl_str_mv |
Mean-variance reactive power planning stochastic programming two - stage uncertainty |
topic |
Mean-variance reactive power planning stochastic programming two - stage uncertainty |
description |
In this paper, the optimal reactive power planning problem under risk is presented. The classical mixed-integer nonlinear model for reactive power planning is expanded into two stage stochastic model considering risk. This new model considers uncertainty on the demand load. The risk is quantified by a factor introduced into the objective function and is identified as the variance of the random variables. Finally numerical results illustrate the performance of the proposed model, that 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 |
2013-12-01 2022-04-29T07:13:46Z 2022-04-29T07:13:46Z |
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/PESMG.2013.6672114 IEEE Power and Energy Society General Meeting. 1944-9925 1944-9933 http://hdl.handle.net/11449/227525 10.1109/PESMG.2013.6672114 2-s2.0-84893204571 |
url |
http://dx.doi.org/10.1109/PESMG.2013.6672114 http://hdl.handle.net/11449/227525 |
identifier_str_mv |
IEEE Power and Energy Society General Meeting. 1944-9925 1944-9933 10.1109/PESMG.2013.6672114 2-s2.0-84893204571 |
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_ |
1808129208276221952 |