Using Neuro Fuzzy PI techniques in wind turbine control

In this paper, we develop the overall model of the wind energy conversion systems (WECS) structure based on induction generator (IG). The goal of this paper is to control the power generated by the WECS and transmitted to the grid. We propose a new control strategy based on Neuro-fuzzy technique in order to control the power of the WECS. The main drawback is that the WECS is highly nonlinear. An adaptive Neuro-Fuzzy-PI power controller is proposed to overcome this problem. A Simulation study is done to validate the strategy used in power control.