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New power equalization modulation strategy for CHB seven-level inverters

  • Jun Gu (School of Electrical and Information Engineering, Anhui University of Science and Technology) ;
  • Run‑Zhe Cai (School of Electrical and Information Engineering, Anhui University of Science and Technology) ;
  • Xiang‑Yu Zhou (School of Electrical and Information Engineering, Anhui University of Science and Technology) ;
  • Chao Ding (School of Electrical and Information Engineering, Anhui University of Science and Technology) ;
  • Wei‑Jian Wang (School of Electrical and Information Engineering, Anhui University of Science and Technology)
  • Received : 2022.10.01
  • Accepted : 2023.01.26
  • Published : 2023.07.20

Abstract

For cascaded H-bridge (CHB) multilevel converters, the traditional in-phase disposition (IPD) modulation strategy has excellent harmonic elimination characteristics, but it leads to a single state of the switching tubes and unbalanced output power of each unit. In this paper, a new power equalization modulation strategy and its optimization are proposed, which solves the problem of power equalization, while taking into account the harmonic elimination performance of the output voltage and power equalization time. The new power equalization modulation strategy makes the carrier rotate in different carrier layers in a new interval, and the voltage of each unit is readjusted using the redundant switching states. Thus, the output power equalization can be achieved in a shorter time. While maintaining the output characteristics of the existing modulation strategy, the new modulation strategy reduces the power equalization time and preserves the harmonic elimination characteristics of IPD. In addition, the optimized modulation strategy reduces the number of carriers, lowering the difficulty of digital control. Finally, simulation and experimental results are used to verify the correctness and feasibility of the new power equalization modulation strategy and its optimization.

Keywords

Acknowledgement

This paper is supported by the Graduate Innovation Fund Project of Anhui University of Science and Technology (2022CX2079).

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