Predictive Control for Multilevel Inverters with Reduced Number of Commutations

Mokhtar Aly, Fernanda Carnielutti, Margarita Norambuena, Mehdi Narimani, Jose Rodriguez

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

Abstract

In this paper, a Model Predictive Control able to reduce the number of commutations is proposed for multilevel inverters. The strategy used in this work adds a term in the cost function, considering the number of changes in the output voltage levels to evaluate the number of switching commutations. This term allows to reduce the unnecessary commutations in a multilevel converter and also is able to reduce the computational cost involved in a multilevel converter with more than 5 output voltage levels. By means of simulation results, the strategy is compared to the standard Finite Control Set Model Predictive Control, FCS-MPC, considering as an example a 7-level Cascaded H-Bridge topology. The simulation results show the better performance of the proposed strategy.

Original languageEnglish
Title of host publicationProceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages914-919
Number of pages6
ISBN (Electronic)9781728163444
DOIs
Publication statusPublished - 24 May 2021
Event12th IEEE Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021 - Virtual, Singapore, Singapore
Duration: 24 May 202127 May 2021

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
Period24/05/2127/05/21

Keywords

  • Model Predictive Control
  • Multilevel Converters
  • Reduced Switching Frequency

ASJC Scopus subject areas

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

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