Intelligent inverse control to maximum power point tracking control strategy of wind energy conversion system

When the wind speed is below the rated value, the RBF neural network inverse controller is designed to achieve maximum power point tracking (MPPT) for wind energy conversion system, the simulation model is built based on the Matlab / Simulink. The results show that power coefficient and tip speed ratio has high accuracy of tracking the optimal power value, what´s more, the neural network inverse control method is compared with conventional pi control, and the wind energy conversion system has better dynamic with the ann´s controller than that with pi´s.