dc.contributorCechin, Adelmo Luis
dc.creatorMendel, Carlos Alberto
dc.date.accessioned2015-03-05T13:56:58Z
dc.date.accessioned2022-09-22T19:05:11Z
dc.date.accessioned2023-03-13T20:48:10Z
dc.date.available2015-03-05T13:56:58Z
dc.date.available2022-09-22T19:05:11Z
dc.date.available2023-03-13T20:48:10Z
dc.date.created2015-03-05T13:56:58Z
dc.date.created2022-09-22T19:05:11Z
dc.date.issued2006-02-23
dc.identifierhttps://hdl.handle.net/20.500.12032/56755
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6175264
dc.description.abstractThis work reports the development of an Artificial Intelligence system applied to Power Systems Restoration, with an hybrid approach. The system employs a Genetic Algorithm (GA) to generate sequences of operations which are analysed by a Power Flow program to verify and access their fitness. For this GA, a new genoma representation was developed, as well as two genetic operators, for crossover and mutation
dc.publisherUniversidade do Vale do Rio do Sinos
dc.rightsopenAccess
dc.subjectalgoritmos genteticos
dc.subjectartificial neural Networks
dc.titleUtilização de algoritmos genéticos em restauração de sistemas de potência
dc.typeDissertação


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