Arm Inductance Quantification for Y-Matrix Modulated Modular Multilevel Converter

Yunting Liu, Fang Z. Peng, Leon M. Tolbert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Y-Matrix Modulated (YMM) Modular Multilevel Converter (MMC) was proposed recently. This modulation utilizes the self-voltage balancing capability of an MMC so that the conventional voltage balancing algorithm of MMC can be eliminated. YMM demonstrates that MMC has inherent self-voltage balancing capability. However, YMM assumes the voltage drop on the arm inductor to be zero to achieve MMC self-voltage balancing. This paper quantitatively justifies the zero voltage drop assumption for YMM based MMC and derives the general state-space model for MMC. Based on the general state-space model, the time-domain state variable dynamics are derived. The arm inductor assumption is justified by using the state variable dynamics. A criterion to determine the arm inductance value is given in this paper to quantify the zero voltage drop assumption. Simulation studies are provided to verify the state-space model derivation and the quantification of arm inductors.

Original languageEnglish (US)
Title of host publication2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3499-3504
Number of pages6
ISBN (Electronic)9781728153018
DOIs
StatePublished - Nov 29 2020
Event9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia - Nanjing, China
Duration: Nov 29 2020Dec 2 2020

Publication series

Name2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia

Conference

Conference9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
Country/TerritoryChina
CityNanjing
Period11/29/2012/2/20

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization

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