Model Predictive Power Control of Brushless Doubly-Fed Induction Generator Considering Saturation Effect
Wei Xinchi1, Xu Litong2, Luo Rensong3, Cheng Ming2, Zhu Jianguo4
1. State Grid Shanghai Electric Power Research Institute Shanghai 200437 China; 2. School of Electrical Engineering Southeast University Nanjing 210096 China; 3. NR Electric Co. Ltd Nanjing 211102 China; 4. School of Electrical and Information Engineering University of Sydney Sydney NSW 2006 Australia
Abstract：This paper proposes a model predictive power control strategy based on a dynamic model and analysis of the power distribution, considering the effects of magnetic saturation of the brushless doubly-fed induction generator (BDFIG). This strategy can realize accurate power control, so as to assure the quality of control winding current and reduce the switching frequency by estimating the magnetic inductance based on the saturation effect and correcting the inductance parameters input to the controller each period. Simulation and experiments were conducted on the BDFIG control system to identify the factors influencing the saturation effect, and validate the effectiveness of the proposed control strategy.
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2021, Vol. 36 
