Abstract: In this study, active and reactive power control of Doubly Fed Induction Generator (DFIG) has been proposed and suggested which a comparative study between two control strategies has been carried out, the first strategy uses a PI controller based on Field-oriented control; the second is based on Artificial Neural Networks (ANN) controller which the training data of ANN controller design are obtained using field oriented control. Modeling of DFIG and details of both control strategies have been presented. The proposed control methods have been tested on 3.6 MW DFIG generators. The performances in terms of power tracking, accuracy and robustness test under DFIGs parameter variations have been shown and compared. The simulation results and their comparison are presented in this study.
Azzouz Said and Messalti Sabir, 2016. Control of Active and Reactive Power of DFIG by Artificial Neural Networks. Journal of Engineering and Applied Sciences, 11: 2269-2273.