Maximum power point prediction and wind power system tracking

In this work, a new intelligent method is developed to predict the maximum power point and to wind system tracking and increase their productivity, reliability and quality of energy, which reduces the cost of wind Kwh. The method developed combines two intelligent techniques (prediction and tracking), which at first allows prediction of a maximum power point, which is then corrected by the application of fuzzy logic, this results in a rapid and accurate convergence to the optimum power point. The generator used in this study is a synchronous permanent magnet (PMSG), controlled by an electronic converter with Pulse Width Modulation (PWM)this last use of a vector and an MPPT (Maximum Power Point Tracking) controller to check the electromechanical magnitudes such as the torque or the rotational speed of the generator in order to extract the maximum wind energy. The simulation results show the effectiveness and robustness of the proposed control