Adaptive Model Predictive Control of DFIG-based Wind Farm: A Model-Free Control Approach

Zahra Rafiee, Rasool Heydari, Mansour Rafiee, Mohammad Reza Aghamohammadi, Jose Rodriguez, Frede Blaabjerg

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

Resumen

In this paper a new control strategy of doubly-fed induction generator based wind farms (DFIG-based WFs) is proposed. Since DFIG has an inherent nonlinear behaviour along with condition variantparameters, the system model cannot easily be extracted. Therefore, the conventional model predictive control (MPC) of DFIG-based WFs cannot perform accurately. In this paper a novel model-free adaptive MPC structure is presented to adaptively update the system model by utilizing model identification and auto-regressive moving average (AR-MAX) model, for each sampling time. Simulation results verify the performance of the proposed control structure of DFIG-based WFs compared to the conventional control strategies.

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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