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Optimization of a small passive wind turbine generator with multiobjective genetic algorithms

Abdelli, Abdenour and Sareni, Bruno and Roboam, Xavier Optimization of a small passive wind turbine generator with multiobjective genetic algorithms. (2007) International Journal of Applied Electromagnetics and Mechanics, vol. 26 (n° 3-4). pp. 175-182. ISSN 1383-5416

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Official URL: http://iospress.metapress.com/content/q2831275r28n4265/

Abstract

In this paper Multiobjective Genetic Algorithms (MOGAs) are used for the design of a small wind turbine generator (WTG) coupled to a DC bus through a diode bridge. The originality of the considered system resides in the suppression of the Maximum Power Point Tracker (MPPT). The poor efficiency of the corresponding passive structure is considerably improved by optimizing the generator characteristics associated with the wind turbine in relation to the wind cycle. The optimized configurations are capable of matching very closely the behavior of active wind turbine systems which operate at optimal wind powers by using a MPPT control device.

Item Type:Article
Additional Information:Thanks to IOP Press. The original publication is available at http://iospress.metapress.com/content/103161. Special issue : OIPE 2006.
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT
Laboratory name:
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Deposited By:Bruno SARENI

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