Multi‑vector predictive direct power control for grid‑tied three‑level inverters with optimized vector application time calculations

Ling Mao; Yubin Wang; Jinbin Zhao; Chao Pan; Keqing Qu

Multi‑vector predictive direct power control for grid‑tied three‑level inverters with optimized vector application time calculations

Vol. 23, No. 3, pp. 423-433, Mar. 2023

10.1007/s43236-022-00545-4

Model predictive control

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.

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Cite this article

[IEEE Style]

L. Mao, Y. Wang, J. Zhao, C. Pan, K. Qu, "Multi‑vector predictive direct power control for grid‑tied three‑level inverters with optimized vector application time calculations," Journal of Power Electronics, vol. 23, no. 3, pp. 423-433, 2023. DOI: 10.1007/s43236-022-00545-4.

[ACM Style]

Ling Mao, Yubin Wang, Jinbin Zhao, Chao Pan, and Keqing Qu. 2023. Multi‑vector predictive direct power control for grid‑tied three‑level inverters with optimized vector application time calculations. Journal of Power Electronics, 23, 3, (2023), 423-433. DOI: 10.1007/s43236-022-00545-4.