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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/72854
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dc.contributor.authorMacIel, Renan Silva-
dc.contributor.authorPadilha-Feltrin, Antonio-
dc.contributor.authorDa Rosa, Mauro Augusto-
dc.contributor.authorMiranda, Vladimiro-
dc.date.accessioned2014-05-27T11:26:14Z-
dc.date.accessioned2016-10-25T18:35:52Z-
dc.date.available2014-05-27T11:26:14Z-
dc.date.available2016-10-25T18:35:52Z-
dc.date.issued2011-12-01-
dc.identifierhttp://dx.doi.org/10.1109/ISGTEurope.2011.6162787-
dc.identifier.citationIEEE PES Innovative Smart Grid Technologies Conference Europe.-
dc.identifier.urihttp://hdl.handle.net/11449/72854-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/72854-
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. © 2011 IEEE.en
dc.language.isoeng-
dc.sourceScopus-
dc.subjectDistributed Generation-
dc.subjectDistribution planning-
dc.subjectMulti-objective evolutionary particle swarm optimization-
dc.subjectMulti-objective optimization-
dc.subjectAlternative approach-
dc.subjectEvolutionary particle swarm optimizations-
dc.subjectMetaheuristic-
dc.subjectMulti objective-
dc.subjectMulti objective optimizations (MOO)-
dc.subjectPareto front-
dc.subjectDistributed power generation-
dc.subjectExhibitions-
dc.subjectMultiobjective optimization-
dc.subjectSmart power grids-
dc.subjectPareto principle-
dc.titleA multi-objective evaluation of the impact of the penetration of Distributed Generationen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversity of Porto-
dc.description.affiliationDepartment of Electrical Engineering São Paulo State University (UNESP), Ilha Solteira 15385-000-
dc.description.affiliationINESC Porto FEUP University of Porto, Porto-
dc.description.affiliationUnespDepartment of Electrical Engineering São Paulo State University (UNESP), Ilha Solteira 15385-000-
dc.identifier.doi10.1109/ISGTEurope.2011.6162787-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofIEEE PES Innovative Smart Grid Technologies Conference Europe-
dc.identifier.scopus2-s2.0-84860767328-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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