Finite states modulated model predictive control for active power filtering systems

Roberto Rabbeni, Luca Tarisciotti, Alberto Gaeta, Andrea Formentini, Pericle Zanchetta, Marcello Pucci, Marco Degano, Marco Rivera

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

14 Citas (Scopus)

Resumen

This paper investigates the application of an improved Modulated Model Predictive Control strategy to active power compensators. The proposed control is able to retain all the advantages of a Finite Control Set Model Predictive Control whilst improving the waveform harmonic spectrum. In fact a modulation algorithm, based on the cost function ratio for different output vectors, is inherently included in the predictive control algorithm. In particular the case of a Shunt Active Filter is investigated and the converter topology, its analytical modeling and its control implementation are described in details. The cost function-based modulator is introduced and its effectiveness on reducing the current ripple is demonstrated. The proposed approach provides a straightforward and effective single loop control solution, maintaining an excellent dynamic performance despite the modulated output and it is self-synchronizing with the grid. Significant results obtained by experimental testing are reported and commented.

Idioma originalInglés
Título de la publicación alojada2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1556-1562
Número de páginas7
ISBN (versión digital)9781467371506
DOI
EstadoPublicada - 27 oct 2015
Evento7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015 - Montreal, Canadá
Duración: 20 sep 201524 sep 2015

Serie de la publicación

Nombre2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015

Conferencia

Conferencia7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015
PaísCanadá
CiudadMontreal
Período20/09/1524/09/15

Áreas temáticas de ASJC Scopus

  • Ingeniería energética y tecnologías de la energía
  • Ingeniería eléctrica y electrónica

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