• DocumentCode
    20344
  • Title

    Detection of rotor electrical asymmetry in wind turbine doubly-fed induction generators

  • Author

    Zaggout, Mahmoud ; Tavner, Peter ; Crabtree, C. ; Li Ran

  • Author_Institution
    Sch. of Eng. & Comput. Sci., Durham Univ., Durham, UK
  • Volume
    8
  • Issue
    8
  • fYear
    2014
  • fDate
    11 2014
  • Firstpage
    878
  • Lastpage
    886
  • Abstract
    This study presents a new technique for detecting rotor electrical faults in wind turbine doubly-fed induction generators (DFIGs), controlled by a stator field-oriented vector control scheme. This is a novel method aimed at detecting and identifying rotor electrical asymmetry faults from within the rotor-side inverter control loop, using the error signal, to provide a future method of generator condition monitoring with enhanced detection sensitivity. Simulation and experimental measurements of the proposed signals were carried out under steady-state operation for both healthy and faulty generator conditions. Stator current and power were also investigated for rotor electrical asymmetry detection and comparison made with rotor-side inverter control signals. An investigation was then performed to define the sensitivity of the proposed monitoring signals to fault severity changes and a comparison made with previous current, power and vibration signal methods. The results confirm that a simple spectrum analysis of the proposed control loop signals gives effective and sensitive DFIG rotor electrical asymmetry detection.
  • Keywords
    asynchronous generators; condition monitoring; fault diagnosis; invertors; machine vector control; rotors; spectral analysis; stators; wind turbines; DFIG condition monitoring; control loop signal; doubly fed induction generator; error signal; fault detection sensitivity enhancement; fault severity; rotor electrical asymmetry fault detection; rotor side inverter control loop; spectrum analysis; stator current; stator field oriented vector control scheme; stator power; steady-state operation; wind turbine;
  • fLanguage
    English
  • Journal_Title
    Renewable Power Generation, IET
  • Publisher
    iet
  • ISSN
    1752-1416
  • Type

    jour

  • DOI
    10.1049/iet-rpg.2013.0324
  • Filename
    6940399