dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorLopez, Julio Cesar
dc.creatorContreras, Javier
dc.creatorMunoz, Jose I.
dc.creatorMantovani, J. R. S.
dc.date2014-12-03T13:11:50Z
dc.date2016-10-25T20:15:18Z
dc.date2014-12-03T13:11:50Z
dc.date2016-10-25T20:15:18Z
dc.date2013-05-01
dc.date.accessioned2017-04-06T06:35:19Z
dc.date.available2017-04-06T06:35:19Z
dc.identifierIeee Transactions On Power Systems. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 28, n. 2, p. 1503-1514, 2013.
dc.identifier0885-8950
dc.identifierhttp://hdl.handle.net/11449/113614
dc.identifierhttp://acervodigital.unesp.br/handle/11449/113614
dc.identifier10.1109/TPWRS.2012.2226250
dc.identifierWOS:000322139300095
dc.identifierhttp://dx.doi.org/10.1109/TPWRS.2012.2226250
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/924355
dc.descriptionThis paper presents a model for long-term reactive power planning where a deterministic nonlinear model is expanded into a multi-stage stochastic model under load uncertainty and an N-k contingency analysis. Reactive load shedding is introduced in the objective function to measure the reactive power deficit after the planning process. The objective is to minimize the sum of investment costs (IC), expected operation costs (EOC) and reactive load shedding costs optimizing the sizes and locations of new reactive compensation equipment to ensure power system security in each stage along the planning horizon. An efficient scenario generation and reduction methodology is used for modeling uncertainty. Expected benefits are calculated to establish the performance of the expected value with perfect information (EVPI) and the value of the stochastic solution (VSS) methodologies. The efficacy of the proposed model is tested and justified by the simulation results using the Ward-Hale 6-bus and the IEEE 14-bus systems.
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relationIEEE Transactions on Power Systems
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectContingencies
dc.subjectexpected benefits
dc.subjectmulti-stage
dc.subjectreactive power planning
dc.subjectscenario tree
dc.subjectstochastic programming
dc.subjectuncertainty modeling
dc.titleA Multi-Stage Stochastic Non-Linear Model for Reactive Power Planning Under Contingencies
dc.typeOtro


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