Maximum Power Point Tracking of Wind Turbine System Connection to Permanent Magnet Synchronous Generator using Fuzzy Logic and Artificial Neural Network

Abstract

This work presents a new Maximum Power Point Tracking (MPPT) for the connection of the wind turbine system (WT) to the synchronous permanent magnet generator (PMSG). To extract the maximum power from the wind turbine, we have proposed a new MPPT based on fuzzy logic (FLC) and Artificial Neural Network (ANN). The ANN is used to predict the maximum voltage of the WT, under different values of wind speed, and the fuzzy controller is used to control the DC-DC boost converter. The considered model as well the control strategies has been implemented in MATLAB/Simulink environment.