Model Predictive Control in Multilevel Inverters Part II: Renewable Energies and Grid Applications

Margarita Norambuena, Andres Mora, Cristian Garcia, Jose Rodriguez, Mokhtar Aly, Fernanda Carnielutti, Javier Pereda, Cristian Castillo, Zhenbin Zhang, Venkata Yaramasu, Luca Tarisciotti, Yafei Yin

Research output: Contribution to journalArticlepeer-review

Abstract

This article presents the use of model predictive control (MPC) in multilevel inverters for some applications, such as, first, wind generation and, second, photovoltaics, showing that the particular restrictions of each of them can be very easily included in the control algorithm, which is an important advantage of this technique. Another application is in modular multilevel cascaded converters, where it is demonstrated that MPC can operate with very few calculations and fixed switching frequency. The second part of this article is dedicated to comparing MPC with linear control and pulsewidth modulation for multilevel inverters. The main comparison criteria are the switching losses, the distortion in the load current, and the number of commutations. The main conclusion is that MPC is a competitive alternative to linear control for application in multilevel inverters.

Original languageEnglish
Pages (from-to)414-427
Number of pages14
JournalIEEE Open Journal of Industry Applications
Volume5
DOIs
Publication statusPublished - 2024
Externally publishedYes

Keywords

  • Grid-connected applications
  • model predictive control (MPC)
  • multilevel inverters (MLIs)
  • variable speed drives

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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