Wind Power Generation Simulation Model Using Doubly-Fed Induction Generator

In this article, we explore a simulation model for wind power generation utilizing a doubly-fed induction generator (DFIG). Wind power represents a significant renewable energy source that can make substantial contributions to society. By harnessing wind energy, we can reduce dependence on traditional energy sources and minimize environmental impact. Wind power technology continues to evolve, with simulation models serving as one of the most effective methods for studying wind power generation. Through simulation modeling, we can replicate the wind power generation process, analyze how various factors affect generation efficiency, and propose improvement strategies.

In this particular simulation model, the doubly-fed induction generator serves as a commonly used generator type, characterized by high efficiency and operational stability. We examine the application of DFIG in wind power systems, along with its advantages and limitations. The DFIG model typically implements vector control algorithms through MATLAB/Simulink blocks, featuring rotor-side and grid-side converters controlled using pulse-width modulation (PWM) techniques. Key functions include maximum power point tracking (MPPT) algorithms that optimize power extraction through turbine speed regulation.

Additionally, we detail the design and implementation process of this simulation model, including aerodynamic modeling of wind turbine blades, mechanical drive train dynamics, and electrical control systems. The implementation involves mathematical modeling of turbine characteristics using performance coefficient (Cp) curves and pitch control mechanisms. Future enhancement directions focus on integrating advanced grid synchronization techniques and fault ride-through capabilities to improve system resilience.