Doubly-Fed Induction Generator (DFIG) Wind Turbine Model with Decoupling Control Implementation

Resource Overview

This example demonstrates the development of a doubly-fed induction generator (DFIG) wind turbine model in MATLAB environment, featuring power control through decoupling control methodology with implementation of control algorithms including PID and model predictive controllers.

Detailed Documentation

This example presents the implementation of a doubly-fed induction generator (DFIG) wind turbine model within the MATLAB environment, achieving power control through decoupling control strategies. In modern industrial applications, wind turbines are gaining significant attention as clean and renewable energy sources. However, wind turbine efficiency depends not only on design and manufacturing quality but also critically on control system performance. In this implementation, we develop a DFIG model using MATLAB/Simulink blocksets and implement decoupled power control through coordinate transformation techniques. This control approach enhances generator efficiency and extends operational lifespan through optimized power regulation. During the power control implementation, we examine the structural configuration and operational principles of DFIG systems, with detailed discussion of decoupling control realization using Park transformations and reference frame theory. The implementation includes design of stator-flux oriented vector control for independent active and reactive power regulation. Furthermore, we incorporate common control algorithms such as PID controllers for inner current loops and model predictive controllers for superior dynamic performance, integrating these algorithms into our DFIG model through MATLAB function blocks and Stateflow implementations. Through this comprehensive study, users will gain deep insights into wind turbine control systems and practical mastery of decoupling control applications, including code implementation strategies for real-time power management and stability enhancement in renewable energy systems.