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: Article

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

Huella dactilar

Synchronous generators
Wind turbines
Permanent magnets
Model predictive control
Power converters
Energy conversion
Inductance
Wind power
Stators
Field programmable gate arrays (FPGA)
Rotors
Topology
Fluxes
Hardware
Control systems

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Citar esto

Zhang, Zhenbin ; Li, Zhen ; Kazmierkowski GAE, Marian Piotr ; Rodriguez, Jose ; Kennel GAE, Ralph. / Robust Predictive Control of Three-Level NPC Back-to-Back Converter PMSG Wind Turbine Systems with Revised Predictions. En: IEEE Transactions on Power Electronics. 2018 ; Vol. 33, N.º 11. pp. 9588-9598.
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abstract = "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.",
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Robust Predictive Control of Three-Level NPC Back-to-Back Converter PMSG Wind Turbine Systems with Revised Predictions. / Zhang, Zhenbin; Li, Zhen; Kazmierkowski GAE, Marian Piotr; Rodriguez, Jose; Kennel GAE, Ralph.

En: IEEE Transactions on Power Electronics, Vol. 33, N.º 11, 8267139, 01.11.2018, p. 9588-9598.

Resultado de la investigación: Article

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AU - Zhang, Zhenbin

AU - Li, Zhen

AU - Kazmierkowski GAE, Marian Piotr

AU - Rodriguez, Jose

AU - Kennel GAE, Ralph

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N2 - 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.

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