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Three-Phase Modular Multilevel Converter (MMC) for Low-voltage Applications: Improved Modulation Technique Toward Less Capacitance Requirement

  • Tarek Younis
  • , Paolo Mattavelli
  • , Paolo Magnone
  • , Igino Toigo
  • , Michele Corradin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Modular Multilevel Converter (MMC) has become one of the promising topologies in medium and high power applications. Modularity, scalability, and reliability are the main features that give the MMC some advantages over other multilevel topologies when considering high number of levels. This paper presents an alternative modulation technique for a modified modular multilevel converter (M-MMC) topology for low-voltage applications. By using level-shifted carrier (LSC) modulation and the proposed sorting algorithm, the capacitance requirement for this topology can be reduced. Finally, the proposed modulation scheme and the reduction of capacitance are verified by simulation results using PLECS.

Original languageEnglish
Title of host publicationIEEE Conference on Power Electronics and Renewable Energy, CPERE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages407-411
Number of pages5
ISBN (Electronic)9781728109107
DOIs
StatePublished - Oct 2019
Externally publishedYes

Publication series

NameIEEE Conference on Power Electronics and Renewable Energy, CPERE 2019

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Modular multilevel converters (MMCs)
  • level-shifted carrier (LSC)
  • low-voltage systems
  • modulation
  • multilevel converters
  • renewable energy
  • sorting algorithm

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization

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