dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2019-10-06T16:56:08Z
dc.date.accessioned2022-12-19T19:00:29Z
dc.date.available2019-10-06T16:56:08Z
dc.date.available2022-12-19T19:00:29Z
dc.date.created2019-10-06T16:56:08Z
dc.date.issued2018-10-26
dc.identifierProceedings of the 2018 IEEE PES Transmission and Distribution Conference and Exhibition - Latin America, T and D-LA 2018.
dc.identifierhttp://hdl.handle.net/11449/189908
dc.identifier10.1109/TDC-LA.2018.8511718
dc.identifier2-s2.0-85057015390
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5370946
dc.description.abstractThe optimal reconfiguration of radial Electrical Distribution Systems (EDSs) is a classical optimization problem that deals with the operation of the system and is of great interest to the electricity sector. Although there is a large number of approaches in the specialized literature to solve this problem, the solution of the reconfiguration problem for large-scale EDSs is still difficult. This paper proposes a method to solve the reconfiguration problem of EDSs that is based on the specialized metaheuristic Biased Random-Key Genetic Algorithm, which showed excellent performance on the solution of complex problems in operational research. Tests carried out using a wellknown EDS demonstrate the efficiency of the proposed method.
dc.languageeng
dc.relationProceedings of the 2018 IEEE PES Transmission and Distribution Conference and Exhibition - Latin America, T and D-LA 2018
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectBiased random-key genetic algorithm
dc.subjectelectrical distribution systems
dc.subjectpower losses
dc.subjectreconfiguration
dc.titleBiased Random-Key Genetic Algorithm Applied to the Optimal Reconfiguration of Radial Distribution Systems
dc.typeActas de congresos


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