Model Predictive Control of Master-Slave Inverters Operating with Fixed Switching Frequency

Fernanda Carnielutti*, Mokhtar Aly, Margarita Norambuena, Jiefeng Hu, Josep Guerrero, Jose Rodriguez

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

This paper proposes a Fixed Switching Frequency Model Predictive Control (FSF - MPC) for Master-Slave parallel inverters in a microgrid. The Master is a grid-forming inverter with an LC output filter, and the Slave is a grid-following inverter with an output LCL filter. The microgrid is also composed of linear and non-linear loads, as well as grid and line impedances. First, the proposed FSF - MPC is presented in details and then, in order to validate the theoretical analysis, Hardware-in-the-Loop (HIL) results are presented for different operational conditions of the microgrid, including grid connection, islanded mode and load variations. The results demonstrate the good performance of the proposed FSF-MPC, such as fast dynamic response, multi-variable control and robustness to parametric uncertainties, while also achieving fixed switching frequency.

Original languageEnglish
Title of host publicationCOBEP 2023 - 17th Brazilian Power Electronics Conference and SPEC 2023 - 8th IEEE Southern Power Electronics Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350321128
ISBN (Print)9798350321128
DOIs
StatePublished - 2024
Event8th Southern Power Electronics Conference and the 17th Brazilian Power Electronics Conference, SPEC / COBEP 2023 - Florianopolis, Brazil
Duration: 20232023

Publication series

NameCOBEP 2023 - 17th Brazilian Power Electronics Conference and SPEC 2023 - 8th IEEE Southern Power Electronics Conference, Proceedings

Conference

Conference8th Southern Power Electronics Conference and the 17th Brazilian Power Electronics Conference, SPEC / COBEP 2023
Country/TerritoryBrazil
CityFlorianopolis
Period26/11/2329/11/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

ASJC Scopus subject areas

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

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