Extended Model of Chopper Cells for Open Circuit Fault Detection in Modular Multilevel Cascade Converters using Sliding Mode Observers

Thomas Kreppel, Felix Rojas, Christoph M. Hackl, Oliver Kalmbach, Matias Diaz, Gustavo Gatica

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

Resumen

Fault detection and isolation (FDI) strategies can be implemented to increase reliability and prevent faults of power switches from disrupting converter operation. This is especially important for Modular Multilevel Cascade Converters (MMCC) due to the high number of switches employed in this topology. This paper proposes a new model for chopper cells, the core component of an MMCC. Unlike reported methods, the proposed model enables open-circuit fault detection and excellent tracking of cluster currents using a Sliding Mode Observer (SMO) under normal and faulty operation. The model has been successfully validated to detect faulty operation by using PLECS simulations in a BTB MMCC-DSCC.

Idioma originalInglés
Título de la publicación alojada2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas487-493
Número de páginas7
ISBN (versión digital)9781728169903
DOI
EstadoPublicada - 28 sep 2020
Evento11th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020 - Dubrovnik, Croacia
Duración: 28 sep 20201 oct 2020

Serie de la publicación

Nombre2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020

Conferencia

Conferencia11th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020
PaísCroacia
CiudadDubrovnik
Período28/09/201/10/20

Áreas temáticas de ASJC Scopus

  • Ingeniería energética y tecnologías de la energía
  • Energías renovables, sostenibilidad y medio ambiente
  • Ingeniería eléctrica y electrónica
  • Control y optimización

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