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dc.contributor.authorMaciel, Renan Silva [UNESP]
dc.contributor.authorPadilha-Feltrin, Antonio [UNESP]
dc.contributor.authorRosa, Mauro Augusto da
dc.contributor.authorMiranda, Vladimiro
dc.contributor.authorIEEE
dc.date.accessioned2020-12-10T19:34:39Z
dc.date.available2020-12-10T19:34:39Z
dc.date.issued2011-01-01
dc.identifier.citation2011 2nd Ieee Pes International Conference And Exhibition On Innovative Smart Grid Technologies (isgt Europe). New York: Ieee, 6 p., 2011.
dc.identifier.issn2165-4816
dc.identifier.urihttp://hdl.handle.net/11449/196138
dc.description.abstractThis paper proposes a methodology to consider the effects of the integration of DG on planning. Since DG has potential to defer investments in networks, the impact of DG on grid capacity is evaluated. A multi-objective optimization tool based on the meta-heuristic MEPSO is used, supporting an alternative approach to exploiting the Pareto front features. Tests were performed in distinct conditions with two well-known distribution networks: IEEE-34 and IEEE-123. The results combined minimization and maximization in order to produce different Pareto fronts and determine the extent of the impact caused by DG. The analysis provides useful information, such as the identification of futures that should be considered in planning. A future means a set of realizations of all uncertainties. MEPSO also presented a satisfactory performance in obtaining the Pareto fronts.en
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.format.extent6
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2011 2nd Ieee Pes International Conference And Exhibition On Innovative Smart Grid Technologies (isgt Europe)
dc.sourceWeb of Science
dc.subjectMulti-objective optimization
dc.subjectDistributed Generation
dc.subjectDistribution planning
dc.subjectMulti-objective evolutionary particle swarm optimization
dc.titleA Multi-Objective Evaluation of the Impact of the Penetration of Distributed Generationen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniv Porto
dc.description.affiliationSao Paulo State Univ UNESP, Dept Elect Engn, BR-15385000 Ilha Solteira, Brazil
dc.description.affiliationUniv Porto, INESC Porto, Oporto, Portugal
dc.description.affiliationUniv Porto, Fac Engn, FEUP, Oporto, Portugal
dc.description.affiliationUnespSao Paulo State Univ UNESP, Dept Elect Engn, BR-15385000 Ilha Solteira, Brazil
dc.identifier.wosWOS:000407001900176
dc.description.sponsorshipIdFAPESP: 2006/06758-9
dc.description.sponsorshipIdCNPq: 303741/2009-0
dc.description.sponsorshipIdCAPES: 0694/09-6
unesp.author.orcid0000-0002-5772-8452[4]
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