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

Issue title: OIPE 2006

Article type: Research Article

Authors: Abdelli, A.^a | Sareni, B.^{a; *} | Roboam, X.^a

Affiliations: [a] LEEI, UMR INPT-ENSEEIHT/CNRS No. 5828, 2 rue Camichel, BP 7122, 31071 Toulouse Cedex 7, France

Correspondence: [*] Corresponding author. E-mail: sareni@leei.enseeiht.fr

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.

Keywords: Multiobjective optimization, genetic algorithms, wind energy, vertical axis wind turbine

DOI: 10.3233/JAE-2007-906

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 26, no. 3-4, pp. 175-182, 2007