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dc.contributor.authorFrutuoso de Souza, Simone Silva [UNESP]
dc.contributor.authorRomero, Ruben [UNESP]
dc.contributor.authorCorreia Pereira, Jorge Manuel
dc.contributor.authorTome Saraiva, Joao Paulo
dc.contributor.authorIEEE
dc.date.accessioned2018-11-26T16:48:29Z
dc.date.available2018-11-26T16:48:29Z
dc.date.issued2015-01-01
dc.identifier.citation2015 18th International Conference On Intelligent System Application To Power Systems (isap). New York: Ieee, 6 p., 2015.
dc.identifier.urihttp://hdl.handle.net/11449/161756
dc.description.abstractThis paper describes the application of the clonal selection algorithm to the reconfiguration problem of distribution networks considering non-uniform demand levels. The Clonal Algorithm, CLONALG, is a combinatorial optimization technique inspired in the immunologic bio system and it aims at reproducing the main properties and functions of this system. The reconfiguration problem of distribution networks with non-uniform demand levels is a complex problem that aims at identifying the most adequate radial topology of the network that complies with all technical constraints in every demand level while minimizing the cost of active losses along an extended operation period. This work includes results of the application of the Clonal algorithm to distribution systems with 33, 84 and 136 buses. These results demonstrate the robustness and efficiency of the proposed approach.en
dc.format.extent6
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2015 18th International Conference On Intelligent System Application To Power Systems (isap)
dc.sourceWeb of Science
dc.subjectDistribution System Reconfiguration
dc.subjectVariable Demands
dc.subjectClonal Selection Algorithm
dc.subjectArtificial Immune Systems
dc.subjectMixed-Integer Nonlinear Programming Problem
dc.titleDistribution System Reconfiguration with Variable Demands Using the Clonal Selection Algorithmen
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.institutionINESC TEC Porto
dc.description.affiliationUniv Estadual Paulista, UNESP, Dept Elect Engn, Ilha Solteira, SP, Brazil
dc.description.affiliationINESC TEC Porto, Ctr Sistemas Energia CPES, Oporto, Portugal
dc.description.affiliationUnespUniv Estadual Paulista, UNESP, Dept Elect Engn, Ilha Solteira, SP, Brazil
dc.identifier.wosWOS:000380395400034
dc.rights.accessRightsAcesso aberto
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