Model predictive virtual power control of brushless doubly-fed induction generator for fast and smooth grid synchronisation

Institution of Engineering and Technology (IET)
Publication Type:
Journal Article
IET Renewable Power Generation, 2019, 13, (16), pp. 3080-3087
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© The Institution of Engineering and Technology 2019. This study presents a model predictive virtual power control (MPVPC) method for brushless doubly-fed induction generator (BDFIG) during the grid synchronisation process. Predictive virtual power model is developed for the first time based on the defined virtual power and state-space equation of BDFIG. The control characteristics of virtual power are analysed to explain clearly how to realise grid synchronisation condition through the control of virtual power. The MPVPC controller is then designed to unify the control structure during the transition from the grid synchronisation mode to the grid connected mode, and only flux feedback needs to be changed between these two modes. The consistency between theoretical analysis and actual performance is confirmed by the results of both numerical simulation and experimental tests. As demonstrated, the proposed MPVPC controller can achieve fast and smooth grid synchronisation and excellent decoupled control of active power and reactive power.
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