A Control Method using Artificial Intelligence in Wind Energy Conversion System

Abstract

This work presents a field-oriented control (FOC) of active and reactive power applied on Doubly Fed Induction Machine (DFIM) integrated in wind energy conversion system (WECS). The main objective of this work is to compare the performances of energy produced by the use of two types of controllers ( PI regulator and the neural network regulator (NN)) in order to control the wind power conversion system to compare their precision & robustness against the wind fluctuation and the impact on the quality of produced energy. A field oriented control of DEFIG stator is also presented to control the active and reactive power. To show the efficiency of the performances and the robustness of the two control methods those were analyzed and compared by simulation using Matlab/Simulink software. The results described the favoured method.