Double‑voltage vector‑based model predictive control for three‑phase grid‑connected AC/DC converters

Leilei Guo; Kaixuan Zhang; Yanyan Li; Nan Jin

Double‑voltage vector‑based model predictive control for three‑phase grid‑connected AC/DC converters

Vol. 20, No. 1, pp. 236-244, Jan. 2020

10.1007/s43236-019-00012-7

Model predictive control (MPC)

AC/DC converter

Voltage vector

Abstract

This paper presents a double-vector-based model predictive control method for three-phase grid-connected AC/DC converters. The conventional model predictive control (MPC) presents high steady-state ripples due to the application of only one voltage vector during one control period. To reduce the current ripples, a new MPC method is proposed. Double-voltage vectors are selected and applied it each control period in the proposed method. To reduce the calculation burden, the duration time of each voltage vector is calculated based on the principle of modulated MPC. Furthermore, the effectiveness of the proposed double-voltage vector-based MPC strategy is analyzed in theory for the first time. Then, it is further verified by comparative experiment studies.

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Cite this article

[IEEE Style]

L. Guo, K. Zhang, Y. Li, N. Jin, "Double‑voltage vector‑based model predictive control for three‑phase grid‑connected AC/DC converters," Journal of Power Electronics, vol. 20, no. 1, pp. 236-244, 2020. DOI: 10.1007/s43236-019-00012-7.

[ACM Style]

Leilei Guo, Kaixuan Zhang, Yanyan Li, and Nan Jin. 2020. Double‑voltage vector‑based model predictive control for three‑phase grid‑connected AC/DC converters. Journal of Power Electronics, 20, 1, (2020), 236-244. DOI: 10.1007/s43236-019-00012-7.