Doubly-Fed Induction Generator Model with Transient Simulation Capabilities for Multiple Scenarios

Doubly-Fed Induction Generators (DFIGs) are widely used in modern wind farms due to their unique rotor-side converter control that provides excellent power regulation capabilities. For power system analysis and research, developing accurate DFIG models is crucial for studying their dynamic characteristics under different operating conditions. Transient simulation primarily investigates a system's dynamic response following disturbances. For DFIGs, typical transient scenarios include grid voltage dips, frequency fluctuations, and sudden wind speed changes. These conditions require accurate modeling of both electromagnetic and mechanical transient processes to assess their impact on power system stability. In code implementation, this involves solving differential equations representing electromagnetic transients using numerical methods like Runge-Kutta, while mechanical dynamics typically use swing equations with appropriate time-step integration. The modeling process must consider multiple factors: the generator's electromagnetic transient characteristics, rotor-side converter control strategies, protection system logic, and the dynamic behavior of the wind turbine's mechanical drive train. These elements collectively determine the generator's response during transient events. Control strategies implementation often involves PID controllers for power regulation and vector control techniques for decoupled active/reactive power control. By establishing a complete DFIG transient model, researchers can study key technical indicators such as low-voltage ride-through capability during grid faults, active/reactive power regulation characteristics, and frequency support capabilities. The simulation framework typically includes modular components for aerodynamic models, shaft systems, generator electromagnetic models, and power converter controls, allowing comprehensive analysis through parameter configuration and scenario testing. These research outcomes are essential for grid integration of wind farms and ensuring power system security and stability.