Optimal control strategies for DFIG-based wind turbines: simulation and analysis

Abstract

Doubly fed induction generators (DFIGs) have become a cornerstone technology in modern wind turbine systems, thanks to their ability to operate across a wide range of rotational speeds. This flexibility enables DFIG-based wind turbines to achieve the optimal power coefficient (Cpopt), thereby maximising energy capture from variable wind conditions. This study presents a comprehensive mathematical model of the induction machine in the dq domain, followed by the development of a vector control model tailored to the unique characteristics of DFIGs. A simplified model for the wind turbine, including its torque controller, is also formulated to integrate seamlessly with the DFIG model. To validate the proposed control strategies, a series of simulations were conducted, demonstrating their effectiveness in optimising the performance of wind energy systems under varying operating conditions.