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Specialized genetic algorithm of Chu-Beasley applied to the Distribution System Reconfiguration problem considering several demand scenarios

dc.contributor.authorSouza, Simone S.F. [UNESP]
dc.contributor.authorRomero, Ruben [UNESP]
dc.contributor.authorPereira, Jorge
dc.contributor.authorSaraiva, J. T.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversity of Porto
dc.date.accessioned2018-12-11T17:26:34Z
dc.date.available2018-12-11T17:26:34Z
dc.date.issued2015-08-31
dc.description.abstractThis paper describes the application of the specialized genetic algorithm of Chu-Beasley to solve the Distribution System Reconfiguration, DSR, problem considering different demand scenarios. This algorithm is an approach inspired in the natural selection and evolution of species. The reconfiguration problem of distribution networks taking into account different demand scenarios aims at identifying the most adequate radial topology of a distribution system assuming that this topology is used for all demand scenarios under study. This search is driven by the minimization of the cost of energy losses in the network along a full operation year. The performance of the algorithm is evaluated considering test systems having 33, 70, 84 and 136 buses and a real system with 417 buses. The obtained results confirm the robustness and efficiency of the developed approach and its potential to be used in distribution control centers.en
dc.description.affiliationElectrical Engineering Department UNESP - Univ. Estadual Paulista
dc.description.affiliationINESC TEC Faculty of Economics University of Porto
dc.description.affiliationUnespElectrical Engineering Department UNESP - Univ. Estadual Paulista
dc.identifierhttp://dx.doi.org/10.1109/PTC.2015.7232298
dc.identifier.citation2015 IEEE Eindhoven PowerTech, PowerTech 2015.
dc.identifier.doi10.1109/PTC.2015.7232298
dc.identifier.scopus2-s2.0-84951325450
dc.identifier.urihttp://hdl.handle.net/11449/177670
dc.language.isoeng
dc.relation.ispartof2015 IEEE Eindhoven PowerTech, PowerTech 2015
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectDemand scenarios
dc.subjectDistribution System Reconfiguration
dc.subjectMixed-Integer Nonlinear Programming Problem
dc.subjectSpecialized Genetic Algorithm of Chu-Beasley
dc.titleSpecialized genetic algorithm of Chu-Beasley applied to the Distribution System Reconfiguration problem considering several demand scenariosen
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication
unesp.departmentEngenharia Elétrica - FEISpt

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