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Continuous Control Set Model Predictive Control of Modular Multilevel Matrix Converters for Low-frequency AC Transmission

  • Matias Uriarte
  • , Roberto Cardenas-Dobson
  • , Yeiner Arias-Esquivel
  • , Matias Diaz
  • , Oriol Gomis-Bellmunt
  • Universidad de Santiago de Chile
  • Universidad de Chile
  • Polytechnic University of Catalonia

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This paper proposes a continuous control set model predictive control (CCS-MPC) algorithm of a modular multilevel matrix converter (M3C) for low-frequency AC transmission (LFAC), via which the offshore wind farm (OWF) is integrated. The M3C is operated with a 16.7 Hz frequency at the OWF side and a 50 Hz frequency at the onshore grid side. The balance of the capacitor voltages and the regulation of circulating currents in the M3C are performed using the proposed CCS-MPC algorithm, which is based on the online solution of a cost function with constraints. Simulation and experimental work (with a 5 kW M3C prototype) are provided, showing the performance of the LFAC system to operate with symmetrical and asymmetrical voltage dips, active and reactive power steps, and optimal limitation of currents and voltages using constraints. Unlike previous publications, the predictive control system in this paper allows seamless operation under balanced and unbalanced conditions, for instance, during asymmetrical voltage dips.

Original languageEnglish
Pages (from-to)1468-1480
Number of pages13
JournalJournal of Modern Power Systems and Clean Energy
Volume13
Issue number4
DOIs
StatePublished - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • AC network
  • Modular multilevel matrix converter (M3C)
  • continuous control set
  • low-frequency AC transmission (LFAC)
  • model predictive control
  • offshore wind farm (OWF)

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