Enhancing the maximum power of wind turbine using artificial neural network

Wind energy conversion systems (WECS) now play a significant role in meeting the world's needs. Several different approaches are used to try increase reliability of these renewable systems. Smart designed be more proactive improve performance equipment. Artificial neural networks (ANNs) have variety applications, including controlling Using optimal torque control (OTC) system based prediction techniques, controller monitor maximum point wind turbine output power (MPPT) is and modeled this paper. MATLAB/Simulink package tools for also design simulate it achieve necessary results obtain an appropriate analysis controller. The show that ANN active delivers better than traditional