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صفحه اصلی
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سی و سومین کنفرانس بین المللی مهندسی برق
Stability Improvement in Weak Grid-Tied DFIG-based WECS Employing Adaptive Virtual Impedance Strategy Based on Machine Learning Considering the LVRT Constraint
نویسندگان :
Mohammad Hossein Shaabani
1
Behrooz Vahidi
2
Navid Dehghan
3
1- دانشگاه صنعتی امیرکبیر
2- دانشگاه صنعتی امیرکبیر
3- دانشگاه صنعتی امیرکبیر
کلمات کلیدی :
DFIG،Virtual Impedance،HFR،LVRT،Adaptive Control
چکیده :
The interaction between weak grids like microgrids and Doubly-Fed Induction Generator (DFIG) systems can induce resonance, leading to significant harmonic distortion and waveform instability. Moreover, modern grid codes mandate the integration of Low Voltage Ride Through (LVRT) ability to make sure system resilience under varying grid voltage dip scenarios. This study proposes an adaptive virtual impedance strategy, implemented within the Rotor Side Converter (RSC) of the DFIG, leveraging machine learning techniques. The developed approach enhances the system's stability by simultaneously addressing high-frequency resonance (HFR) mitigation and LVRT requirements. The proposed method's effectiveness is demonstrated through extensive simulations performed in a MATLAB/Simulink environment using a 2-MW DFIG model.
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