• DocumentCode
    2446196
  • Title

    Supervised shutdown algorithm for an offshore wind power plant to meet the required ramp rate of a grid code in a storm-driven situation

  • Author

    Kim, Yeon-Hee ; Lee, Jin-Shik ; Kang, Yong-Cheol

  • Author_Institution
    Dept. of Electrical Engineering, and Wind energy Grid-Adaptive Technology (WeGAT) Research Center, Chonbuk National University, Korea
  • fYear
    2012
  • fDate
    23-26 April 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper proposes a supervised shutdown algorithm for an off-shore wind power plant (WPP) to meet a required rampdown rate of a grid code in a storm-driven situation. The algorithm determines the number of wind generators (WGs) to shutdown simultaneously by considering the required ramp-down rate of a WG without using a brake. Based on the wind direction and speed measured at a wind mast (WM), wind arrival times from a WM to each WG are calculated. Then, a sequence of WGs is generated in the order of wind arrival time and subsequently a group sequence is generated. The shutdown end time of each group is determined as the minimum wind arrival time in the group whilst the shutdown start time is determined by subtracting the duration of the shutdown from the end time. If the shutdown start/end times of adjacent groups are overlapped, the start/end times of the preceding group are re-scheduled by considering the overlapped time. The performance of the algorithm is verified under various storm conditions. The results indicate that the algorithm can shut down the WPP without exceeding the required ramp rate in a grid code.
  • Keywords
    Electrical engineering; Generators; Shape; Storms; Wind farms; Wind power generation; Wind speed; Grid code; Shutdown; Strom-driven situation; Wind mast and Ramp-down rate;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Developments in Power Systems Protection, 2012. DPSP 2012. 11th International Conference on
  • Conference_Location
    Birmingham, UK
  • Print_ISBN
    978-1-84919-620-8
  • Type

    conf

  • DOI
    10.1049/cp.2012.0042
  • Filename
    6227528