PWM Selection Method for High Performance of Two-Level Three-Phase Voltage Source Inverters in High Load Power Factor Ranges

Junhyuk Lee, Jung Wook Park

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

1 Citation (Scopus)

Abstract

In this paper, a pulse-width modulation (PWM) selection method for two-level three-phase voltage source inverters (VSIs) is presented to reduce the common-mode voltage (CMV) or the DC-link capacitor current (DCC) in high load power factor ranges. In general, the high CMV generates the large common-mode current, which causes electromagnetic emissions and motor damage. Also, the large DCC aggravates the lifespan and increases the size of the DC-link capacitors. Therefore, decreasing the CMV and DCC is necessary in the VSI systems. For this purpose, various PWM strategies, such as active zero-state PWM, near-state PWM, extended double-carrier PWM, and multi-carrier generalized discontinuous PWM, are reviewed. Furthermore, based on these PWM strategies, the PWM selection method is proposed to effectively reduce the CMV and DCC. The effectiveness of the PWM selection method is verified by simulation and experimental results with a permanent magnet synchronous motor drive system.

Original languageEnglish
Title of host publicationProceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages682-687
Number of pages6
ISBN (Electronic)9781728163444
DOIs
Publication statusPublished - 2021 May 24
Event12th IEEE Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021 - Virtual, Singapore, Singapore
Duration: 2021 May 242021 May 27

Publication series

NameProceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021

Conference

Conference12th IEEE Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021
Country/TerritorySingapore
CityVirtual, Singapore
Period21/5/2421/5/27

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

All Science Journal Classification (ASJC) codes

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

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