The doubly fed induction generator (DFIG) is widely

used in wind energy. This paper proposes a model-based predictive

controller for a power control of DFIG. The control law is derived

by optimization of an objective function that considers the control

effort and the difference between the predicted outputs (active and

reactive power) and the references. The prediction was calculated

using a linearized state-space model of DFIG. As the generator

leakage inductance and resistance information were required for this control method, the influence of the estimation errors for these

parameters was also investigated. Simulation results are presented to validate the proposed controller