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

Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_MJEE-16-3_011

تاریخ نمایه سازی: 2 آذر 1401

Abstract:

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.

Keywords:

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

Authors

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

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