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Article Dans Une Revue International Journal of Applied Electromagnetics and Mechanics Année : 2007

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

Résumé

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.
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Dates et versions

hal-00763673 , version 1 (11-12-2012)

Identifiants

  • HAL Id : hal-00763673 , version 1
  • OATAO : 7979

Citer

Abdenour Abdelli, Bruno Sareni, Xavier Roboam. Optimization of a small passive wind turbine generator with multiobjective genetic algorithms. International Journal of Applied Electromagnetics and Mechanics, 2007, vol. 26, pp.175-182. ⟨hal-00763673⟩
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