Robust Predictive Control of Three-Level NPC Back-to-Back Converter PMSG Wind Turbine Systems with Revised Predictions

Zhenbin Zhang, Zhen Li, Marian Piotr Kazmierkowski GAE, Jose Rodriguez, Ralph Kennel GAE

Resultado de la investigación: Contribución a una revistaArtículo

41 Citas (Scopus)

Resumen

Direct-drive permanent-magnet synchronous generator (PMSG) with three-level neutral-point-clamped (3L-NPC) back-to-back power converter is an attractive configuration for high-power wind energy conversion systems. For such topology, finite control set model predictive control (FCS-MPC) has been emerged as a promising alternative. However, due to its fully model based concept, variation of system parameter (in particular, the stator and grid filter inductance and rotor permanent-flux linkage) will (seriously) affect the system control performances when using the classical FCS-MPC. In this work, a robust FCS-MPC method with revised predictions is proposed and validated for such system. With the proposed solution, not only the system robustness against parameter variations is improved, but also the control variable ripples are evidently reduced. The proposed method has been implemented with a fully FPGA based real-time hardware. Its performance improvements in comparison with the conventional solutions are validated with experimental data.

Idioma originalInglés
Número de artículo8267139
Páginas (desde-hasta)9588-9598
Número de páginas11
PublicaciónIEEE Transactions on Power Electronics
Volumen33
N.º11
DOI
EstadoPublicada - 1 nov 2018

Áreas temáticas de ASJC Scopus

  • Ingeniería eléctrica y electrónica

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