Artificial Intelligence Assessment Versus Torque MPPT Control of Grid Connected WCES

Nowadays, wind energy plays a crucial role as an alternate renewable source that affords in one hand the fossil fuel depletion and its highly soaring cost and to handle in the other hand the excessive demand of green power at cheapest price as possible as it can be. According to the Betz limit, we can only convert at least 59.3% of the kinetic energy into mechanical power. Consequently, several techniques have focused on maximizing this amount of transmitted energy especially the Maximum Power Point Tracking control (MPPT). This study presents a comparison between three types of MPPT control methods which both are artificial intelligent and another is a conventional control technique of a wind turbine using as generator a Permanent Magnet Synchronous Generators (PMSG). Indeed, an Optimal Torque (OT), an Adaptative Neuro Fuzzy Inference system (ANFIS) and Artificial Neural Network control (ANN) are the control techniques simulated and analyzed next in this paper using MATLAB-Simulink software.