ANN-Based Adaptive Rotor Current Control for DFIG Wind Systems: A Comparative Dynamic Analysis
The variability of rotor current management in Doubly Fed Induction Generator (DFIG)-based wind energy conversion systems is crucial for maintaining stability in power extraction under fluctuating wind and grid circumstances.
Doubly Fed Induction Generator (DFIG), Rotor Current Control, Artificial Neural Network (ANN), Adaptive Control Strategy, Proportional–Integral (PI) Controller, Dynamic Performance Analysis, Wind Energy Conversion System (WECS), Disturbance Rejection