Capacitor Voltage Imbalance Reduction in Flying Capacitor Modular Multilevel Converters by using Model Predictive Control

Parisa Boodaghi Malidarreh, Davood Arab Khaburi, Jose Rodriguez

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

1 Citation (Scopus)

Abstract

Multilevel converters are very interesting for medium and high power applications because of their high efficiency and lower distortion harmonic and many other advantages. This paper investigates the effect of finite control set model predictive control (FCS-MPC) on capacitor voltage balancing and load current ripple in a four level three cell flying capacitor (FC) converter and compared with phase shifted carrier pulse width modulation method (PSC-PWM). The FCS-MPC method is presented as a simple strategy that can control multiple variables. The simulation results are used to propose a comparison between two control methods. The results such as current ripple and voltage balancing are displayed in tables for comparison. In this paper simulation is performed using MATLAB/Simulink software.

Original languageEnglish
Title of host publication2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728158495
DOIs
Publication statusPublished - Feb 2020
Event11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020 - Tehran, Iran, Islamic Republic of
Duration: 4 Feb 20206 Feb 2020

Publication series

Name2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020

Conference

Conference11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
Country/TerritoryIran, Islamic Republic of
CityTehran
Period4/02/206/02/20

Keywords

  • current ripple
  • model predictive control
  • voltage balancing

ASJC Scopus subject areas

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

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