Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Multi-vector predictive direct power control for grid-tied three-level inverters with optimized vector application time calculations

  • Ling Mao (College of Electrical Engineering, Shanghai University of Electric Power) ;
  • Yubin Wang (College of Electrical Engineering, Shanghai University of Electric Power) ;
  • Jinbin Zhao (College of Electrical Engineering, Shanghai University of Electric Power) ;
  • Chao Pan (College of Electrical Engineering, Shanghai University of Electric Power) ;
  • Keqing Qu (College of Electrical Engineering, Shanghai University of Electric Power)
  • Received : 2022.05.17
  • Accepted : 2022.10.07
  • Published : 2023.03.20
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Abstract

This paper proposes a multi-vector predictive direct power control (P-DPC) for grid-tied T-type three-level inverters with optimized vector application time calculations. The conventional multi-vector P-DPC suffers from the problems of a heavy computational burden and a tedious adjustment process for the weighting factor. To reduce the computational burden, this paper proposes a new space vector division method. The proposed method can reduce the number of candidate vectors and the number of iterations for the cost function. To avoid the need for adjusting the weighting factor, the redundant small vectors are utilized to balance the neutral point voltage. In addition, the Lagrange multiplier method is introduced to optimize the calculation of the prediction vector application time, which improves the control accuracy. Finally, the effectiveness of the proposed method is verified in a hardware-in-the-loop platform.

Keywords

Acknowledgement

National Natural Science Foundation of China, 52177184, Jinbin Zhao.

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