• DocumentCode
    630862
  • Title

    Wind turbine fault detection and fault tolerant control - An enhanced benchmark challenge

  • Author

    Odgaard, Peter F. ; Johnson, Kathryn E.

  • Author_Institution
    Innovation Center, Ikast, Denmark
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    4447
  • Lastpage
    4452
  • Abstract
    Wind turbines are increasingly growing larger, becoming more complex, and being located in more remote locations, especially offshore. Interest in advanced controllers for normal operation has expanded in recent years, but fault detection and fault tolerant control for wind turbines is a less well-developed area of interest. In this benchmark challenge, we have reworked a previous challenge paper to present a more sophisticated wind turbine model - a modern 5 MW turbine implemented in the FAST software - and updated fault scenarios. These updates enhance the realism of the challenge and will therefore lead to solutions that are significantly more useful to the wind industry. This paper presents the challenge model and the requirements for challenge participants. In addition, it provides additional information about the faults selected for the challenge and their basis in field data.
  • Keywords
    fault tolerance; power engineering computing; wind turbines; FAST software; fault tolerant control; power 5 MW; wind industry; wind turbine fault detection; Actuators; Benchmark testing; Blades; Generators; Sensors; Torque; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6580525
  • Filename
    6580525