• DocumentCode
    49763
  • Title

    Development of a Novel Power Curve Monitoring Method for Wind Turbines and Its Field Tests

  • Author

    Joon-Young Park ; Jae-Kyung Lee ; Ki-Yong Oh ; Jun-Shin Lee

  • Author_Institution
    Future Technol. Lab., Korea Electr. Power Corp., Daejeon, South Korea
  • Volume
    29
  • Issue
    1
  • fYear
    2014
  • fDate
    Mar-14
  • Firstpage
    119
  • Lastpage
    128
  • Abstract
    A novel power curve monitoring method for wind turbines was developed to prevent a turbine failure in a wind farm. Compared with the existing methods, this algorithm automatically calculates the power curve limits for power curve monitoring, even when a considerable number of abnormal data are included in wind speed-output power data measured at a wind turbine. In addition, the proposed algorithm automatically generates an alarm message when the wind speed-power data measured at the wind turbine deviate from the power curve limits, particularly considering their degree of deviation from the power curve limits and the cases when the measured data hover between the Warning Zones and the Alarm Zones. We confirmed its effectiveness through its field tests.
  • Keywords
    condition monitoring; wind turbines; alarm zones; power curve monitoring method; turbine failure prevention; warning zones; wind farm; wind speed-output power data; wind turbines; Interpolation; Monitoring; Power measurement; Standards; Wind farms; Wind speed; Wind turbines; Alarm generation; condition monitoring; fault data queue; power curve; turbine monitoring; wind turbine;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2013.2294893
  • Filename
    6704282