A multi-objective programming approach for the optimal operation of distributed generation considering uncertainty

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorEfficient Energy Management Research Group (GIMEL)
dc.date.accessioned2014-05-27T11:25:53Z
dc.date.accessioned2022-10-05T18:27:01Z
dc.date.available2014-05-27T11:25:53Z
dc.date.available2022-10-05T18:27:01Z
dc.date.created2014-05-27T11:25:53Z
dc.date.issued2011-05-31
dc.identifier2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 257-262.
dc.identifierhttp://hdl.handle.net/11449/72449
dc.identifier10.1109/TDC-LA.2010.5762891
dc.identifier2-s2.0-79957535661
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3921512
dc.description.abstractDue to the renewed interest in distributed generation (DG), the number of DG units incorporated in distribution systems has been rapidly increasing in the past few years. This situation requires new analysis tools for understanding system performance, and taking advantage of the potential benefits of DG. This paper presents an evolutionary multi-objective programming approach to determine the optimal operation of DG in distribution systems. The objectives are the minimization of the system power losses and operation cost of the DG units. The proposed approach also considers the inherent stochasticity of DG technologies powered by renewable resources. Some tests were carried out on the IEEE 34 bus distribution test system showing the robustness and applicability of the proposed methodology. © 2011 IEEE.
dc.languageeng
dc.relation2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectDistributed generation
dc.subjectEvolutionary multi-objective programming
dc.subjectPower losses
dc.subjectAnalysis tools
dc.subjectDG technology
dc.subjectDG unit
dc.subjectDistributed Generation
dc.subjectDistributed generations
dc.subjectDistribution systems
dc.subjectMultiobjective programming
dc.subjectOperation cost
dc.subjectOptimal operation
dc.subjectPotential benefits
dc.subjectPower-losses
dc.subjectRenewable resource
dc.subjectStochasticity
dc.subjectTest systems
dc.subjectDistributed power generation
dc.subjectMultiobjective optimization
dc.subjectDistributed computer systems
dc.titleA multi-objective programming approach for the optimal operation of distributed generation considering uncertainty
dc.typeTrabalho apresentado em evento


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