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Iranian Journal of Electrical and Electronic Engineering، جلد ۱۴، شماره ۴، صفحات ۳۳۰-۳۴۱
عنوان فارسی
چکیده فارسی مقاله
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عنوان انگلیسی A Hybrid Control Method to Improve LVRT and FRT in DFIG by Using the Multi-Objective Algorithm of Krill and the Fuzzy Logic
چکیده انگلیسی مقاله Considering the increasing usage of the clean and renewable energies, wind energy has been saliently improved throughout the world as one of the most desired energies. Besides, most power houses and wind turbines work based on the doubly-fed induction generator (DFIG). Based on the structure and the how-ness of DFIG connection to the grid, two cases may decrease the performance of the DFIG. These two cases are known as a fault and a low-voltage in the grid. In the present paper, a hybrid method is proposed based on the multi-objective algorithm of krill and the fuzzy controller to improve the low-voltage ride through (LVRT) and the fault ride through (FRT). In this method, first by using the optimal quantities algorithm, the PI controllers' coefficients and two variables which are equal to the demagnetize current have been calculated for different conditions of fault and low voltage. Then, these coefficients were given to the fuzzy controller. This controller diagnosed the grid condition based on the stator voltage and then it applied the proper coefficients to the control system regarding the diagnosed condition. To test the proposed method, a DFIG is implemented by taking the best advantages of the proposed method; additionally, the system performance has been tested in fault and low voltage conditions.
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله | H. Ahmadi
Department of Electronic Engineering, Shiraz University of Technology, Shiraz, Fars, Iran.


| A. Rajaei
Department of Electronic Engineering, Shiraz University of Technology, Shiraz, Fars, Iran.


| M. Nayeripour
Department of Electronic Engineering, Shiraz University of Technology, Shiraz, Fars, Iran.


| M. Ghani
Department of Electronic Engineering, Shiraz University of Technology, Shiraz, Fars, Iran.
نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-2048-2&slc_lang=en&sid=1
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/446/article-446-1073165.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Renewable Generation-1
نوع مقاله منتشر شده Research Paper
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