Adaptive control and parameter identification of a doubly-fed induction generator for wind power

Abstract

The use of Doubly-Fed Induction Generators (DFIG) for wind energy conversion is addressed in this thesis. It is well known that when the stator is connected to the electric grid, the rotor voltage can control both mechanical torque and reactive electric power. To guarantee efficient wind energy conversion, it is important to research and design more advanced control schemes. In this thesis, we first review the basic theory behind DFIGs and Adaptive Control. Next we design an adaptive controller for a wind turbine using a DFIG and model and simulate the system. In order to create a valid assessment on the results of this method, we compare the system's performance with a standard control scheme based on proportional integral (PI) controllers as proposed in standard approaches.