dc.contributorUniv Fed Pampa UNIPAMPA
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-10T16:35:24Z
dc.date.accessioned2022-12-19T19:55:41Z
dc.date.available2020-12-10T16:35:24Z
dc.date.available2022-12-19T19:55:41Z
dc.date.created2020-12-10T16:35:24Z
dc.date.issued2009-01-01
dc.identifierUpec: 2009 44th International Universities Power Engineering Conference. New York: Ieee, p. 567-+, 2009.
dc.identifierhttp://hdl.handle.net/11449/194716
dc.identifierWOS:000279099500117
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5375352
dc.description.abstractThis paper proposes an alternative codification to solve the service restoration in electric power distribution networks using a SPEA2 multiobjective evolutionary algorithm, assuming the minimization of both the load not supplied and the number of switching operations involved in the restoration plan. Constrains as the line, power source and voltage drop limits in order to avoid the activation of protective devices are all included in the proposed algorithm. Experimental results have shown the convenience on considering these new representations in the sense of feasibility maintenance and also in the sense of better approximation to the Pareto set.
dc.languageeng
dc.publisherIeee
dc.relationUpec: 2009 44th International Universities Power Engineering Conference
dc.sourceWeb of Science
dc.subjectPower systems
dc.subjectDistribution networks
dc.subjectService restoration
dc.subjectMultiobjective optimization
dc.subjectGenetic algorithms
dc.titleOn the efficiency of an alternative codification for multiobjective service restoration in electric distribution networks
dc.typeActas de congresos


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