Integrated Controller For Fixed Speed, Grid Connected Wind Turbine, Based On Neural Networks

Electrical power production is the main target required from wind turbines. This paper describes an approach for wind turbine controller as a vital part of the turbine, where this controller is based on Artificial Neural Network technique and a control scheme has been applied and validated by detailed simulation in MATLAB 6.5/Simulink. The proposed controller enhances the reactive power affected by electrical grid voltage and/or load disturbances where the controlled variables for the controller are system voltage and power production. Final results were compared with practical database of wind turbine runs by conventional controllers without applying ANN, and found positive. The controller model is useful for wind energy developers for designing wind energy conversion systems, where ANN based controller is much faster and adaptive to maintain maximum power conversion efficiency which appears steady at maximum in the same area of the power/wind speed curve during load or wind sudden variances.