Quasi-Two-Level PWM-Operated Modular Multilevel Converter With Nonlinear Branch Inductors

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Jakub Kucka
  • Siqi Lin
  • Jens Friebe
  • Axel Mertens

External Research Organisations

  • École polytechnique fédérale de Lausanne (EPFL)
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Details

Original languageEnglish
Article number9288752
Pages (from-to)7600-7611
Number of pages12
JournalIEEE Transactions on Power Electronics
Volume36
Issue number7
Early online date9 Dec 2020
Publication statusPublished - Jul 2021

Abstract

Quasi-two-level PWM operation of modular multilevel converters enables very low module capacitance even at low machine speeds and high torques while the current distortion is tolerable. In this article, the application of nonlinear inductors together with this operation mode is investigated to further decrease the module capacitances. The requirements for the inductors are analytically derived and the design of the nonlinear inductors using a stepped air gap is demonstrated. The feasibility and the advantages of quasi-two-level PWM operation with nonlinear inductors are validated using simulations and a laboratory prototype.

Keywords

    Modular multilevel converter (MMC), nonlinear inductor, quasi-two-level

ASJC Scopus subject areas

Cite this

Quasi-Two-Level PWM-Operated Modular Multilevel Converter With Nonlinear Branch Inductors. / Kucka, Jakub; Lin, Siqi; Friebe, Jens et al.
In: IEEE Transactions on Power Electronics, Vol. 36, No. 7, 9288752, 07.2021, p. 7600-7611.

Research output: Contribution to journalArticleResearchpeer review

Kucka J, Lin S, Friebe J, Mertens A. Quasi-Two-Level PWM-Operated Modular Multilevel Converter With Nonlinear Branch Inductors. IEEE Transactions on Power Electronics. 2021 Jul;36(7):7600-7611. 9288752. Epub 2020 Dec 9. doi: 10.1109/tpel.2020.3042635
Kucka, Jakub ; Lin, Siqi ; Friebe, Jens et al. / Quasi-Two-Level PWM-Operated Modular Multilevel Converter With Nonlinear Branch Inductors. In: IEEE Transactions on Power Electronics. 2021 ; Vol. 36, No. 7. pp. 7600-7611.
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