TY  - JOUR
T1  - Improvement of the Performance of Doubly-Fed Induction Generator for Wind Turbines by
Optimizing the Parameters of the Fuzzy Controller
AU - Zaoui, Abdelouahab AU - Meziane, Rachid AU - Lakdja, Fatiha 
JO  - International Journal of Electrical and Power Engineering
VL  - 14
IS  - 3
SP  - 32
EP  - 35
PY  - 2020
DA  - 2001/08/19
SN  - 1990-7958
DO  - ijepe.2020.32.35
UR  - https://makhillpublications.co/view-article.php?doi=ijepe.2020.32.35
KW  - fuzzy controller
KW  -Optimal values
KW  -doubly-fed induction generator
KW  -genetic algorithm
AB  - This study investigates the improvement of
wind turbine performance by giving optimal values to the
fuzzy controller parameters of a doubly-fed induction
generator. The results obtained from the simulation by
MATLAB, especially when using the genetic algorithm,
confirm that the control of this machine (Doubly Fed
Induction Generator) gives very satisfactory results. In
particular, the operating system gives a fast response
without any disturbance. Moreover, it allows the Doubly
Fed Induction Generator to perform its functions
without any hindrance and without any impact on the
content.
ER  -