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Adaptive Reactive Power Control of Doubly Fed Induction Generator By using GWO Algorithm

عنوان مقاله: Adaptive Reactive Power Control of Doubly Fed Induction Generator By using GWO Algorithm
شناسه ملی مقاله: JR_MJEE-16-3_011
منتشر شده در در سال 1401
مشخصات نویسندگان مقاله:

Akram Shather - Computer Technology Engineering, College of Engineering Technology, Alkitab University, Iraq
Ahmed Majid Abdel Abbas - Al-Manara College For Medical Sciences, (Maysan), Iraq
Atheer Taha Mohammed - The University of Mashreq, Iraq
Tawfeeq Alghazali - College of Media, department of journalism, The Islamic University in Najaf, Najaf, Iraq
Mustafa Musa Jaber - Department of Medical instruments engineering techniques, Dijlah University College, Baghdad,۱۰۰۲۱, Iraq
Bashar S. Bashar - Department of Medical instruments engineering techniques, Al-Farahidi University, Baghdad,۱۰۰۲۱, Iraq
Musaddak Maher Abdul Zahra - Al-Nisour University College, Baghdad, Iraq
Ghadban Abdullah Kalaf - Computer Techniques Engineering Department, Al-Mustaqbal University College, Hillah ۵۱۰۰۱, Iraq
Taif Alawsi - Mazaya University College/ Dhi Qar, Iraq
Maysam Reyad Hadi - Scientific Research Center, Al-Ayen University, Thi-Qar, Iraq

خلاصه مقاله:
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.

کلمات کلیدی:
Doubly Fed Induction Generator, Grey wolf optimization algorithm, Variable Wind turbine, Adaptive control, reactive power control

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