Low-Complexity Virtual-Vector-Based FCS-MPC with Unaffected Neutral-Point Voltage for Three-Phase T-Type Inverters

Renji Mo, Yong Yang*, Rong Chen*, Weimin Wu, Jiefeng Hu, Huiqing Wen, Yiwang Wang, Gang Fang, Jose Rodriguez

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

This article presents a new finite control set model predictive control (FCS-MPC) algorithm for three-phase (3P) T-type voltage source inverters. The proposed algorithm incorporates a vector combination technique to generate a total of 51 virtual vectors (VVs), which is 89% more than the traditional algorithm, leading to excellent inverter output voltage tracking capability with reduced harmonics. Such VVs do not affect the neutral point (NP) voltage. Therefore, the NP voltage balance term can be eliminated in the cost function. In addition, to achieve a low computational burden, a three-stage optimization is employed. Experimental results validate the effectiveness of the proposed algorithm and demonstrate its superiority over conventional approaches.

Original languageEnglish
Pages (from-to)1683-1693
Number of pages11
JournalIEEE Journal of Emerging and Selected Topics in Power Electronics
Volume12
Issue number2
DOIs
Publication statusPublished - 1 Apr 2024

Keywords

  • Model predictive control (MPC)
  • neutral point (NP) voltage
  • three-level (3L) inverter
  • virtual voltage vector

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