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dc.contributor.authorBenetti De Pádua, Súzan Grazielle
dc.contributor.authorCossi, Antonio Marcos [UNESP]
dc.contributor.authorMantovani, José Roberto Sanches [UNESP]
dc.date.accessioned2018-12-11T17:27:26Z
dc.date.available2018-12-11T17:27:26Z
dc.date.issued2015-08-01
dc.identifierhttp://dx.doi.org/10.1109/TLA.2015.7332143
dc.identifier.citationIEEE Latin America Transactions, v. 13, n. 8, p. 2635-2645, 2015.
dc.identifier.issn1548-0992
dc.identifier.urihttp://hdl.handle.net/11449/177857
dc.description.abstractIn this paper the problem of Planning Electric Power Distribution Systems (PEPDS) of Medium Voltage is formulated as a mixed integer nonlinear programming (MINLP) model. For solving this model the scatter search (SS) algorithm is proposed, an evolutionary search technique which according to the specialized literature has not yet been used for solving this problem. The main contribution of this work is the description of the five basic stages of SS for the PEPDS problem. The method was applied to 54 and 417 busbars from testing systems found in the specialized literature.en
dc.format.extent2635-2645
dc.language.isopor
dc.relation.ispartofIEEE Latin America Transactions
dc.sourceScopus
dc.subjectCombinatorial Optimization
dc.subjectDistribution System
dc.subjectPlanning
dc.subjectScatter Search
dc.titlePlanning of Medium-Voltage Electric Power Distribution Systems through a Scatter Search Algorithmen
dc.typeArtigo
dc.contributor.institutionUniversidade do Estado de Mato Grosso (UNEMAT)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.description.affiliationUniversidade do Estado de Mato Grosso (UNEMAT)
dc.description.affiliationUniversidade Estadual Paulista 'Júlio de Mesquita Filho' (UNESP)
dc.description.affiliationUnespUniversidade Estadual Paulista 'Júlio de Mesquita Filho' (UNESP)
dc.identifier.doi10.1109/TLA.2015.7332143
dc.rights.accessRightsAcesso aberto
dc.identifier.scopus2-s2.0-84959489172
dc.identifier.file2-s2.0-84959489172.pdf
unesp.author.lattes0899728893178335[2]
unesp.author.orcid0000-0003-1005-6246[2]
dc.relation.ispartofsjr0,253
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