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

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.contributorUniversidad de Castilla - la Mancha
dc.date.accessioned2022-04-29T07:12:58Z
dc.date.accessioned2022-12-20T02:26:01Z
dc.date.available2022-04-29T07:12:58Z
dc.date.available2022-12-20T02:26:01Z
dc.date.created2022-04-29T07:12:58Z
dc.date.issued2013-12-27
dc.identifier2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013.
dc.identifierhttp://hdl.handle.net/11449/227395
dc.identifier10.1109/PTC.2013.6652087
dc.identifier2-s2.0-84890868521
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5407530
dc.description.abstractIn 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.
dc.languageeng
dc.relation2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013
dc.sourceScopus
dc.subjectChance-constraint
dc.subjectoptimal reactive power planning
dc.subjectstochastic programming
dc.subjectuncertainty
dc.titleOptimal reactive power planning using two-stage stochastic chance-constrained programming
dc.typeActas de congresos


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