Optimal Reactive Power Planning Using Two-Stage Stochastic Chance-Constrained Programming

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniv Castilla La Mancha
dc.date.accessioned2020-12-10T19:32:56Z
dc.date.accessioned2022-12-19T20:12:39Z
dc.date.available2020-12-10T19:32:56Z
dc.date.available2022-12-19T20:12:39Z
dc.date.created2020-12-10T19:32:56Z
dc.date.issued2013-01-01
dc.identifier2013 Ieee Grenoble Powertech (powertech). New York: Ieee, 6 p., 2013.
dc.identifierhttp://hdl.handle.net/11449/196088
dc.identifierWOS:000387091900008
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5376725
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.
dc.languageeng
dc.publisherIeee
dc.relation2013 Ieee Grenoble Powertech (powertech)
dc.sourceWeb of Science
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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