Robust predictive control of grid-side power converters for PMSG wind turbine systems with stability analysis

Yongdu Wang, Zhenbin Zhang, Cristian Garcia, Jose Rodriguez, Ralph Kennel

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

Resumen

Renewable energy plays an increasingly significant role in the power generation process. Wind energy, in particular, has brilliant prospects, especially high-power wind energy. The three-level neutral-point-clamped (3L-NPC) converter for power transformed into the grid has proven to be a promising and effective configuration. For this topology, finite control set model predictive control (FCS-MPC) is an effective control option. However, the performance of FCS-MPC, like most model based control schemes, will deteriorate when system parameter (in particular, the inductance of grid side filters) varies. In this work, we propose a robust FCS-MPC scheme with revised predictions. This proposed robust FCS-MPC outperforms the classic scheme at both normal and parameter mismatched conditions, which has been validated experimentally for such systems with a fully FPGA based real-time hardware. Besides, the proposed method enlarges the range of the stability of the control method. The stability of the proposed scheme is derived theoretically and proven to be better in comparison with classic FCS-MPC.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas763-768
Número de páginas6
ISBN (versión digital)9781728157542
DOI
EstadoPublicada - feb 2020
Evento21st IEEE International Conference on Industrial Technology, ICIT 2020 - Buenos Aires, Argentina
Duración: 26 feb 202028 feb 2020

Serie de la publicación

NombreProceedings of the IEEE International Conference on Industrial Technology
Volumen2020-February

Conferencia

Conferencia21st IEEE International Conference on Industrial Technology, ICIT 2020
PaísArgentina
CiudadBuenos Aires
Período26/02/2028/02/20

Áreas temáticas de ASJC Scopus

  • Informática aplicada
  • Ingeniería eléctrica y electrónica

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