Please use this identifier to cite or link to this item: http://archives.univ-biskra.dz/handle/123456789/3470
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dc.contributor.authorGuettaf abderrazak-
dc.date.accessioned2014-06-08T05:13:12Z-
dc.date.available2014-06-08T05:13:12Z-
dc.date.issued2014-06-08-
dc.identifier.urihttp://archives.univ-biskra.dz/handle/123456789/3470-
dc.description.abstractIn our days, wind energy is the cheapest clean energy to produce electricity, which explains the strong enthusiasm for this technology. It is also used to provide energy to isolate d sites like pumping water in fields. In this context, we have assigned our thesis, which examines the modeling and control of a small scale wind pumping system, based on a three phase self-excited induction generator. The optimization fixes as goals both the improvement of the pump flow-r a t e , a n d the maximization of the turbine’s power coefficient. The simulation results show a remarked improvement of the system’s performances while the proposed algorithms are useden_US
dc.language.isofren_US
dc.subjectwind energy, induction generator, fuzzy control, MPPT optimization, genetic algorithm, vector controlen_US
dc.titleOptimisation floue- génétique d'un système de pompage éolienen_US
dc.typeThesisen_US
Appears in Collections:Département de Génie Electrique

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