GUETTAF, ABDERRAZAK (2013) Optimisation floue- génétique d'un système de pompage éolien. ["eprint_fieldopt_thesis_type_phd" not defined] thesis, Université Mohamed Khider – Biskra.
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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 isolated 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-rate, and 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.
Item Type: | Thesis (["eprint_fieldopt_thesis_type_phd" not defined]) |
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Uncontrolled Keywords: | wind energy, induction generator, fuzzy control, MPPT optimization, genetic algorithm, vector control |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculté des Sciences et de la technologie > Département de Génie Electrique |
Depositing User: | Users 1 not found. |
Date Deposited: | 22 Jun 2014 10:21 |
Last Modified: | 22 Jun 2014 10:21 |
URI: | http://thesis.univ-biskra.dz/id/eprint/90 |
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