dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:28:16Z
dc.date.accessioned2022-10-05T18:42:47Z
dc.date.available2014-05-27T11:28:16Z
dc.date.available2022-10-05T18:42:47Z
dc.date.created2014-05-27T11:28:16Z
dc.date.issued2013-01-31
dc.identifierIEEE Transactions on Power Systems, v. 28, n. 1, p. 490-502, 2013.
dc.identifier0885-8950
dc.identifierhttp://hdl.handle.net/11449/74439
dc.identifier10.1109/TPWRS.2012.2202926
dc.identifierWOS:000313965700052
dc.identifier2-s2.0-84872929251
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3923395
dc.description.abstractTraditionally, ancillary services are supplied by large conventional generators. However, with the huge penetration of distributed generators (DGs) as a result of the growing interest in satisfying energy requirements, and considering the benefits that they can bring along to the electrical system and to the environment, it appears reasonable to assume that ancillary services could also be provided by DGs in an economical and efficient way. In this paper, a settlement procedure for a reactive power market for DGs in distribution systems is proposed. Attention is directed to wind turbines connected to the network through synchronous generators with permanent magnets and doubly-fed induction generators. The generation uncertainty of this kind of DG is reduced by running a multi-objective optimization algorithm in multiple probabilistic scenarios through the Monte Carlo method and by representing the active power generated by the DGs through Markov models. The objectives to be minimized are the payments of the distribution system operator to the DGs for reactive power, the curtailment of transactions committed in an active power market previously settled, the losses in the lines of the network, and a voltage profile index. The proposed methodology was tested using a modified IEEE 37-bus distribution test system. © 1969-2012 IEEE.
dc.languageeng
dc.relationIEEE Transactions on Power Systems
dc.relation5.255
dc.relation2,742
dc.rightsAcesso restrito
dc.sourceScopus
dc.subjectDistributed generators
dc.subjectDistribution systems
dc.subjectMarkov models
dc.subjectMonte Carlo method
dc.subjectMulti-objective optimization
dc.subjectPower generation
dc.subjectReactive power market
dc.subjectUncertainty
dc.subjectMarkov model
dc.subjectMulti objective optimizations (MOO)
dc.subjectAlgorithms
dc.subjectCommerce
dc.subjectDistributed power generation
dc.subjectLocal area networks
dc.subjectMarkov processes
dc.subjectMonte Carlo methods
dc.subjectMultiobjective optimization
dc.subjectSynchronous generators
dc.subjectReactive power
dc.titleDistributed generators as providers of reactive power support - A market approach
dc.typeArtigo


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