Reconfiguration of Radial Distribution Systems with Variable Demands Using the Clonal Selection Algorithm and the Specialized Genetic Algorithm of Chu–Beasley

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dc.contributor.authorSouza, Simone S. F. [UNESP]
dc.contributor.authorRomero, Ruben [UNESP]
dc.contributor.authorPereira, Jorge
dc.contributor.authorSaraiva, João T.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionINESC TEC and University of Porto
dc.date.accessioned2018-12-11T17:30:02Z
dc.date.available2018-12-11T17:30:02Z
dc.date.issued2016-12-01
dc.description.abstractThis paper presents two new approaches to solve the reconfiguration problem of electrical distribution systems (EDSs) with variable demands, using the CLONALG and the SGACB algorithms. The CLONALG is a combinatorial optimization technique inspired by biological immune systems, which aims at reproducing the main properties and functions of the system. The SGACB is an optimization algorithm inspired by natural selection and the evolution of species. The reconfiguration problem with variable demands is a complex combinatorial problem that aims at identifying the best radial topology for an EDS, while satisfying all technical constraints at every demand level and minimizing the cost of energy losses in a given operation period. Both algorithms were implemented in C++ and test systems with 33, 84, and 136 nodes, as well as a real system with 417 nodes, in order to validate the proposed methods. The obtained results were compared with results available in the literature in order to verify the efficiency of the proposed approaches.en
dc.description.affiliationElectrical Engineering Department Unesp Univ Estadual Paulista, Av. Brasil 56
dc.description.affiliationINESC TEC and University of Porto, Av. Dr. Roberto Frias 378
dc.description.affiliationUnespElectrical Engineering Department Unesp Univ Estadual Paulista, Av. Brasil 56
dc.format.extent689-701
dc.identifierhttp://dx.doi.org/10.1007/s40313-016-0268-9
dc.identifier.citationJournal of Control, Automation and Electrical Systems, v. 27, n. 6, p. 689-701, 2016.
dc.identifier.doi10.1007/s40313-016-0268-9
dc.identifier.file2-s2.0-84993971867.pdf
dc.identifier.issn2195-3899
dc.identifier.issn2195-3880
dc.identifier.scopus2-s2.0-84993971867
dc.identifier.urihttp://hdl.handle.net/11449/178387
dc.language.isoeng
dc.relation.ispartofJournal of Control, Automation and Electrical Systems
dc.relation.ispartofsjr0,274
dc.relation.ispartofsjr0,274
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectArtificial immune systems
dc.subjectClonal selection algorithm
dc.subjectDistribution systems reconfiguration
dc.subjectMetaheuristics
dc.subjectSpecialized genetic algorithm of Chu–Beasley
dc.subjectVariable demands
dc.titleReconfiguration of Radial Distribution Systems with Variable Demands Using the Clonal Selection Algorithm and the Specialized Genetic Algorithm of Chu–Beasleyen
dc.typeArtigo

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