A NOVEL CONTROL STRATEGY TO ENHANCE THE DYNAMIC RESPONSE OF THE WIND ENERGY CONVERSION SYSTEM USING A DOUBLY FED INDUCTION GENERATOR BASED ON AN INTELLIGENT FUZZY-PI CONTROLLER

Abstract

This paper introduces a practical and simple power control method for wind energy conversion systems based on a doubly-fed induction generator. Due to the limitations of traditional proportional-integral controllers when the parameters of the doubly-fed induction generator and wind speed vary, fuzzy control theory is applied to overcome these challenges. First, a detailed mathematical model of the induction generator in the dq domain is provided. Then, based on the characteristics of the doubly-fed induction generator, an enhanced mathematical model is presented along with a vector control model for the generator. Subsequently, the mathematical model for the wind turbine and the fuzzy controller based on the proportional-integral controller are developed and implemented in MATLAB/Simulink for simulation and performance evaluation. Simulation results indicate that the proposed method for controlling the doubly-fed induction generator can significantly improve the dynamic response performance under varying generator parameters and wind speed conditions.