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.contributorUniv Castilla La Mancha-
Autor(es): dc.creatorLopez, Julio C. [UNESP]-
Autor(es): dc.creatorMantovani, J. R. S. [UNESP]-
Autor(es): dc.creatorContreras Sanz, Javier-
Autor(es): dc.creatorMunoz, Jose I.-
Autor(es): dc.creatorIEEE-
Data de aceite: dc.date.accessioned2022-02-22T00:08:26Z-
Data de disponibilização: dc.date.available2022-02-22T00:08:26Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2013-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/196088-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/196088-
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.-
Descrição: dc.descriptionSao Paulo State Univ UNESP, Dept Elect Engn, Ilha Solteira, SP, Brazil-
Descrição: dc.descriptionSao Paulo State Univ UNESP, Elect Power Syst Planning Lab, Ilha Solteira, SP, Brazil-
Descrição: dc.descriptionUniv Castilla La Mancha, Escuela Tecn Super Ingn Ind, E-13071 Ciudad Real, Spain-
Descrição: dc.descriptionSao Paulo State Univ UNESP, Dept Elect Engn, Ilha Solteira, SP, Brazil-
Descrição: dc.descriptionSao Paulo State Univ UNESP, Elect Power Syst Planning Lab, Ilha Solteira, SP, Brazil-
Formato: dc.format6-
Idioma: dc.languageen-
Publicador: dc.publisherIeee-
Relação: dc.relation2013 Ieee Grenoble Powertech (powertech)-
???dc.source???: dc.sourceWeb of Science-
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-
Aparece nas coleções:Repositório Institucional - Unesp

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