Robust generalized predictive control applied to the mitigation of electromagnetic torque oscillations in a wind energy conversion system based on DFIG

Abstract

In order to make wind power generation truly cost-effective and reliable, an advanced control technique must be used. This paper presents the development of a control strategy based on the rotor current loop using the Generalized Predictive Control (GPC) approach applied to a Doubly-Fed Induction Generator (DFIG)-based wind turbine. The controller is designed to minimize oscillations in the generator electromagnetic torque by filtering the control signal. Besides, a new methodology for tuning the controller is proposed based on a single parameter that allows good tradeoffs among noise attenuation of the control signal, disturbance rejection, and system robustness during operation. Simulation results are shown and discussed to demonstrate the merit of the proposal, as the performance and robustness of the algorithm are evaluated when applied to a DFIG-based wind energy conversion system (WECS).