An intelligent variable pitch angle control approach in grid connected wind turbine

Considering the optimal operational characteristics of a grid connected wind turbine, controllers are designed based on the dynamical model of the wind turbine system. In the higher wind speed region, the neural network controller of the turbine blades pitch angle is presented to confine the excess wind energy entering the generation system in order to maintain the power injected into the grid stable. Meanwhile in the lower wind speed region, the turbine speed is changed with the variation of wind speed by regulating the blades angle so that the optimal wind energy conversion efficiency can be guaranteed. The simulation results show that this control method is highly effective.