Simulation of Double-Fed Wind Turbine Generators

To efficiently harness wind energy and convert it into electrical power, double-fed induction generator (DFIG) systems are widely employed. This generator configuration utilizes both rotor and stator circuits to transform wind kinetic energy into electricity. The rotor circuit employs PWM converters to dynamically adjust current and voltage parameters through vector control algorithms, optimizing active and reactive power output. In simulation models, the rotor-side converter typically implements dq-axis decoupling control with PI regulators to maintain grid-synchronized 50Hz three-phase AC output. The conversion process involves mathematical modeling of turbine aerodynamics, drive-train dynamics, and generator electromagnetic transients using Park transformations. Simulation platforms like MATLAB/Simulink enable implementation of maximum power point tracking (MPPT) algorithms through tip-speed ratio optimization and pitch angle control systems. By accurately simulating generator behavior under varying wind conditions using numerical integration methods like Runge-Kutta, engineers can optimize converter switching frequencies, fault ride-through capabilities, and grid synchronization logic. This simulation approach facilitates design validation of rotor crowbar protection circuits and DC-link voltage stabilization techniques, ultimately enhancing renewable energy system efficiency and cost-effectiveness.