Optimal reactive power planning using two-stage stochastic chance-constrained programming

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidad de Castilla - la Mancha-
Autor(es): dc.creatorLopez, Julio C.-
Autor(es): dc.creatorMantovani, J. R.S.-
Autor(es): dc.creatorSanz, Javier Contreras-
Autor(es): dc.creatorMunoz, Jose I.-
Data de aceite: dc.date.accessioned2025-08-21T21:46:08Z-
Data de disponibilização: dc.date.available2025-08-21T21:46:08Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2013-12-27-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/PTC.2013.6652087-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/227395-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/227395-
Descrição: dc.descriptionIn 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.-
Descrição: dc.descriptionDepartment of Electrical Engineering Electric Power Systems Planning Laboratory São Paulo State University - UNESP, Ilha Solteira, SP-
Descrição: dc.descriptionEscuela Técnica Superior de Ingenieros Industriales Universidad de Castilla - la Mancha, 13071, Ciudad Real-
Descrição: dc.descriptionDepartment of Electrical Engineering Electric Power Systems Planning Laboratory São Paulo State University - UNESP, Ilha Solteira, SP-
Idioma: dc.languageen-
Relação: dc.relation2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013-
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Palavras-chave: dc.subjectChance-constraint-
Palavras-chave: dc.subjectoptimal reactive power planning-
Palavras-chave: dc.subjectstochastic programming-
Palavras-chave: dc.subjectuncertainty-
Título: dc.titleOptimal reactive power planning using two-stage stochastic chance-constrained programming-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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