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XU Jianing,WU Zhixuan,TIAN Junkai,WANG Xingdian.Model Predictive Current Control Method for Three-level Neutral Point-clamped Rectifier[J].JOURNAL OF POWER SUPPLY,2019,17(1):29-36
Model Predictive Current Control Method for Three-level Neutral Point-clamped Rectifier
Received:December 01, 2016  Revised:December 01, 2018
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DOI:10.13234/j.issn.2095-2805.2019.1.29
Keywords:three-level neutral point-clamped rectifier  model predictive current control  objective function  voltage space vector
Fund Project:The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)
           
AuthorInstitutionEmail
XU Jianing Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao , China 277943479@qq.com
WU Zhixuan Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao , China
TIAN Junkai Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao , China
WANG Xingdian Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao , China
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Abstract:
      In this paper, a three-level neutral point-clamped(NPC) rectifier is taken as the research object. To mai-ntain the unit power factor operation, reduce the grid-side current harmonics, compensate the delay in calculation time and maintain the DC-side capacitor voltage balance, an online simplified model predictive current control strategy is proposed. The prediction model of the three-level NPC rectifier is established in α-β stationary reference frame by means of coordinate transform. Combined with the principle for voltage space vector equivalent transform, the reference output voltage vectors of the three-level NPC rectifier are obtained, and the sectors where they are located are determined. In this way, the switching state corresponding to the optimal voltage vector in the sector is selected and directly applied to the rectifier. Meanwhile, considering that the delay in calculation time is easily encountered in practical applications, Lagrange extrapolation method is introduced, thus forming the control strategy with time delay compensation. Finally, simulation results show that the proposed method is correct and effective.
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