A Generalized Predictive Control Strategy for Reactive Power Compensation Capability Improvement of Wind Power Generation with a Doubly-Fed Induction Generator
This paper proposes a generalized predictive control strategy for the reactive power compensation capability improvement in wind power generation systems with a doubly-fed induction generator (DFIG). First, a first principles model of the rotor and grid side converter of DFIG is developed, which is then used to theoretically analyze the system characteristics. Then, the unified power quality regulator (UPQC) and DFIG structure and control method are analyzed and compared. In order to enhance the robustness and reactive power compensation capability, a three-input and three-output control system designed by generalized predictive control strategy is proposed for DFIG systems. Finally, a comparison of the proposed method with three other control approaches on a 1.5-MV DFIG system benchmark is performed. It is shown that the proposed method can adaptively and effectively improve the system performance.