Open AccessModel predictive virtual power control of brushless doubly‐fed induction generator for fast and smooth grid synchronisation
Author(s) -
Wei Xinchi,
Cheng Ming,
Luo Rensong,
Xu Litong,
Zhu Jianguo
Publication year - 2019
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2019.0566
Subject(s) - control theory (sociology) , model predictive control , controller (irrigation) , power (physics) , grid , computer science , power control , control engineering , generator (circuit theory) , ac power , engineering , consistency (knowledge bases) , control (management) , electrical engineering , voltage , mathematics , physics , geometry , quantum mechanics , artificial intelligence , agronomy , biology
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.