Predictive Torque Control without Weighting Factors for Doubly-Fed Induction Generators in Wind Turbine Applications

Mohamed Abdelrahem, Ralph Kennel, Christoph Hackl, Jose Rodriguez

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

Resumen

This paper presents a predictive torque control (PTC) method for doubly-fed induction generators (DFIGs) without weighting factors. The proposed control technique is based on calculating the d-axis reference current from the reference torque. Furthermore, the q-axis reference current is employed to regulate the reactive power exchange between the stator of the DFIG and the grid. Then, thereference voltage vector (VV) is directly computed from the reference current vector using the deadbeat principle. Finally, according to the location of this reference VV, only three evaluations of the cost function are required. The cost function includes only the error between the reference VV and the candidates ones, which eliminates the need for weighting factors. Experimental results using a dSPACE DS1007 real-time platform and a 10kW DFIG are presented to verify the feasibility of theproposed control method.

Idioma originalInglés
Título de la publicación alojada2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728171609
DOI
EstadoPublicada - 9 nov 2020
Evento21st IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2020 - Aalborg, Dinamarca
Duración: 9 nov 202012 nov 2020

Serie de la publicación

Nombre2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020

Conferencia

Conferencia21st IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2020
País/TerritorioDinamarca
CiudadAalborg
Período9/11/2012/11/20

Áreas temáticas de ASJC Scopus

  • Control y optimización
  • Modelización y simulación
  • Ingeniería energética y tecnologías de la energía
  • Ingeniería eléctrica y electrónica

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