Doubly-Fed Induction Generator (DFIG) Simulation with PQ Control

Research on doubly-fed induction generator (DFIG) simulation and PQ control for wind turbines is critically important in renewable energy systems. Through detailed generator simulation, we can thoroughly understand the operational principles and performance characteristics of wind power generation systems. The simulation typically involves implementing mathematical models of the generator's dq-axis equations, rotor dynamics, and power converter interfaces using tools like MATLAB/Simulink or Python-based simulation frameworks. PQ control enables precise regulation of active power (P) and reactive power (Q) output from the wind turbine, which is commonly implemented through vector control strategies using proportional-integral (PI) controllers in rotational reference frames. This control approach enhances grid integration capabilities by maintaining stable power output under varying wind conditions. The implementation generally includes rotor-side converter control for power regulation and grid-side converter control for DC-link voltage stability. Therefore, comprehensive research on DFIG simulation and PQ control significantly contributes to advancing wind energy technology development and improving power system reliability.