TY  - JOUR
T1  - Control of Active and Reactive Power of DFIG by Artificial Neural Networks
AU - Said, Azzouz AU - Sabir, Messalti 
JO  - Journal of Engineering and Applied Sciences
VL  - 11
IS  - 10
SP  - 2269
EP  - 2273
PY  - 2016
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2016.2269.2273
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2016.2269.2273
KW  - Active and reactive power control
KW  -artificial neural networks controller
KW  -comparative study
KW  -doubly fed induction generator
KW  -field oriented control
AB  - 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 DFIG’s parameter variations have been shown and compared. The simulation results and their comparison are presented in this study.
ER  -