Optimal reactive power planning using risk analysis

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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.creatorContreras Sanz, Javier-
Autor(es): dc.creatorMunoz, Jose I.-
Data de aceite: dc.date.accessioned2025-08-21T20:36:23Z-
Data de disponibilização: dc.date.available2025-08-21T20:36:23Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2013-12-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/PESMG.2013.6672114-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/227525-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/227525-
Descrição: dc.descriptionIn 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.-
Descrição: dc.descriptionDepartment of Electrical Engineering Electric Power Systems Planning Laboratory São Paulo State University - UNESP, Ilha Solteira-
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-
Idioma: dc.languageen-
Relação: dc.relationIEEE Power and Energy Society General Meeting-
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Palavras-chave: dc.subjectMean-variance-
Palavras-chave: dc.subjectreactive power planning-
Palavras-chave: dc.subjectstochastic programming-
Palavras-chave: dc.subjecttwo - stage-
Palavras-chave: dc.subjectuncertainty-
Título: dc.titleOptimal reactive power planning using risk analysis-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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