TY - EJOUR
AU - Shather, Akram
AU - Abbas, Ahmed Majid Abdel
AU - Mohammed, Atheer Taha
AU - Alghazali, Tawfeeq
AU - Jaber, Mustafa Musa
AU - Bashar, Bashar S.
AU - Zahra, Musaddak Maher Abdul
AU - Kalaf, Ghadban Abdullah
AU - Alawsi, Taif
AU - Hadi, Maysam Reyad
PY - 2024
DA - February
TI - Adaptive Reactive Power Control of Doubly Fed Induction Generator By using GWO Algorithm
T2 - Majlesi Journal of Electrical Engineering
VL - 16
L1 - https://oiccpress.com/Majlesi-Journal-of-Electrical-Engineering/article/adaptive-reactive-power-control-of-doubly-fed-induction-generator-by-using-gwo-algorithm/
DO - 10.30486/mjee.2022.696510
N2 - The most commonly used variable speed wind turbine is based on Doubly Fed Induction Generator (DFIG). To control the reactive power of DFIG-based wind turbines, several methods are suggested that controls the reactive power of the DFIG with slow dynamics and considerable ripples. This paper proposes a new control method based on the adaptive reference model which controls the active and reactive powers of DFIG with high dynamics and low ripples. Given that, the proposed technique has proportional-integral (PI), selecting the proper coefficient for PI controller is significant. To overcome this problem, the grey-wolf algorithm is used to optimize the PI coefficients. The results show that the proposed method gives satisfactory performance with lower overshoots and faster dynamic response.
IS - 3
PB - OICC Press
KW - Doubly Fed Induction Generator, Grey wolf optimization algorithm, Variable Wind turbine, Adaptive control, reactive power control. 
EN -