Performance Improvement of a DFIG-Based Wind Energy Conversion System Using Fuzzy-MPPT and SVM-DTC

This paper presents an improved direct torque control (DTC) strategy based on space vector modulation (SVM) applied to a two-level voltage inverter feeding the rotor of the doubly fed induction generator (DFIG) driven by a variable speed wind turbine (WT). For a fine and optimal extraction of the wind power, maximum power point tracking (MPPT) algorithm based on fuzzy logic control (FLC) is used. Due to the fixed switching frequency approach, the SVM-DTC enables better control. For this purpose, the estimated values of torque and electromagnetic flux are compared with their reference values by two PI controllers. The controller’s outputs provide the position and magnitude of the voltage vector reference. The proposed control aims to reduce the torque/flux ripples and optimize the total harmonic distortion (THD) of the generated currents. The simulations are performed using MATLAB/SIMULINK environment, the collected results show satisfactory performance of SVM-DTC compared to the conventional DTC based on switching table (ST-DTC).