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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Guettaf, abderrazak | - |
dc.date.accessioned | 2013T19:05:24Z | - |
dc.date.available | 2013T19:05:24Z | - |
dc.date.issued | 2013 | - |
dc.identifier.uri | http://archives.univ-biskra.dz/handle/123456789/1087 | - |
dc.description.abstract | In 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 used. | en_US |
dc.language.iso | fr | en_US |
dc.subject | wind energy | en_US |
dc.subject | induction generator | en_US |
dc.subject | fuzzy control | en_US |
dc.subject | MPPT optimization | en_US |
dc.subject | genetic algorithm | en_US |
dc.subject | vector control | en_US |
dc.title | Optimisation floue- génétique d'un système de pompage éolien | en_US |
dc.type | Article | en_US |
Appears in Collections: | Département de Génie Electrique |
Files in This Item:
File | Description | Size | Format | |
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optimisation_floue_genetique_d_un_systeme_de_pompage_eolien.rar | 4,34 MB | rar | View/Open |
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