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DFIG (Doubly Fed Induction Generator) systems are widely used in wind turbine applications due to their ability to provide variable-speed operation and efficient power control. The control strategy for DFIGs plays a critical role in optimizing energy extraction from wind while ensuring grid stability.
A common approach is vector control, which decouples the active and reactive power regulation by transforming the generator dynamics into a synchronous reference frame. This allows independent control of torque (for power extraction) and excitation (for grid synchronization).
Key aspects of DFIG control include: Rotor-side converter control: Adjusts rotor currents to manage generator torque and reactive power. Grid-side converter control: Maintains DC-link voltage stability while exchanging power with the grid. Pitch control: Limits turbine speed during high winds to protect machinery.
Advanced techniques like model predictive control (MPC) and sliding mode control are increasingly applied to handle system uncertainties in fluctuating wind conditions. Proper control ensures compliance with grid codes, including low-voltage ride-through (LVRT) capabilities during faults.
Future trends explore AI-based optimization for adaptive control under varying wind regimes and grid demands.