Continuous Control Set Model Predictive Control of a Hybrid Modular Multilevel Converter for Wind Energy Applications

Yeiner Arias-Esquivel, Roberto Cardenas, Matias Diaz, Luca Tarisciotti

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

1 Cita (Scopus)

Resumen

This article discusses a continuous control set model predictive control system of a hybrid modular multilevel converter, controlling a direct drive permanent magnet synchronous generator, for variable-speed wind energy applications. The hybrid converter enables operation at a reduced dc-link voltage without the need for circulating currents, even during low-frequency operation in the ac port. To further reduce cluster currents, the capacitor voltages are allowed to oscillate inside predefined voltage limits. The control system is based on a single-step predictive control algorithm, whose outputs are the dc-link and common-mode voltages required to balance the converter energy. Furthermore, it is demonstrated in this work that the reference for the common-mode voltage, obtained using an algorithm based on the Moore–Penrose pseudoinverse matrix, is a third harmonic waveform, which can be used to balance the capacitor voltages, as well as to increase the modulation index. The proposed control system is validated using a hardware-in-the-loop platform and an experimental system consisting of a 5-kW back-to-back hybrid modular multilevel converter, controlled using dSPACE MicroLabBox platforms.

Idioma originalInglés
Páginas (desde-hasta)1-11
Número de páginas11
PublicaciónIEEE Transactions on Industrial Electronics
DOI
EstadoEn prensa - 2024

Áreas temáticas de ASJC Scopus

  • Ingeniería de control y sistemas
  • Ingeniería eléctrica y electrónica

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