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

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

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaCOBEP 2023 - 17th Brazilian Power Electronics Conference and SPEC 2023 - 8th IEEE Southern Power Electronics Conference, Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798350321128
ISBN (versión impresa)9798350321128
DOI
EstadoPublicada - 2024
Evento8th Southern Power Electronics Conference and the 17th Brazilian Power Electronics Conference, SPEC / COBEP 2023 - Florianopolis, Brasil
Duración: 20232023

Serie de la publicación

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

Conferencia

Conferencia8th Southern Power Electronics Conference and the 17th Brazilian Power Electronics Conference, SPEC / COBEP 2023
País/TerritorioBrasil
CiudadFlorianopolis
Período26/11/2329/11/23

Nota bibliográfica

Publisher Copyright:
© 2023 IEEE.

Áreas temáticas de ASJC Scopus

  • Ingeniería energética y tecnologías de la energía
  • Ingeniería eléctrica y electrónica
  • Ingeniería mecánica
  • Control y optimización

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