Improved Model Predictive Current Control for Three-phase Three-level Converters with Neutral-Point Voltage Ripple and Common Mode Voltage Reduction

Yang Yong, Rong Chen, Mingdi Fan, Yang Xiao, Xinan Zhang, Margarita Norambuena, Jose Rodriguez

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

An improved two-stage model predictive current control (MPCC) for three-phase three-level converters in the paper, which can simultaneously achieve common-mode voltage (CMV) reduction, effective dc-link capacitor voltage control, and decreased computational burden, is proposed. Compared to the other current control strategies, it has the capability of handling multiple control objectives and possesses a simple structure. Furthermore, it greatly reduces the CMV since the peak CMVs of all the candidate voltage vectors are constrained to be less than one sixth of the dc-link voltage. In addition, an optimal two-stage voltage vector selection mechanism is employed in the proposed method. It helps to significantly reduce the computational complexity. Simulation and experimental results are provided to verify the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)3053-3062
Number of pages10
JournalIEEE Transactions on Energy Conversion
Volume36
Issue number4
DOIs
Publication statusAccepted/In press - 2021

Keywords

  • CMV
  • Model predictive current control
  • neutral point voltage
  • three-phase three-level converters

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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