Variable speed wind power generation system based on fuzzy logic control for maximum output power tracking

Abstract

This paper proposes a variable speed control scheme of grid-connected wind power generation system using cage-type induction generators, which is based on a fuzzy logic control. The induction generator is operated in indirect vector control mode, where the d-axis current controls the excitation level and the q-axis current controls the generator torque, by which the speed of the induction generator is controlled according to the variation of the wind speed in order to produce the maximum output power. The generated power flows into the utility grid through the back-to-back PWM converter. The grid-side converter controls the DC link voltage and the line-side power factor by the q-axis and the d-axis current control, respectively. Experimental results are shown to verify the validity of the proposed scheme.