SOWFA Super-Controller: A High-Fidelity Tool for Evaluating Wind Plant Control Approaches Metadata

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  • Main Title SOWFA Super-Controller: A High-Fidelity Tool for Evaluating Wind Plant Control Approaches


  • Author: Fleming, P.
    Creator Type: Personal
  • Author: Gebraad, P.
    Creator Type: Personal
  • Author: van Wingerden, J. W.
    Creator Type: Personal
  • Author: Lee, S.
    Creator Type: Personal
  • Author: Churchfield, M.
    Creator Type: Personal
  • Author: Scholbrock, A.
    Creator Type: Personal
  • Author: Michalakes, J.
    Creator Type: Personal
  • Author: Johnson, K.
    Creator Type: Personal
  • Author: Moriarty, P.
    Creator Type: Personal


  • Sponsor: Wind and Hydropower Technologies Program (U.S.)
    Contributor Type: Organization
    Contributor Info: USDOE Office of Energy Efficiency and Renewable Energy Wind Power Program


  • Name: National Renewable Energy Laboratory (U.S.)
    Place of Publication: Golden, Colorado
    Additional Info: National Renewable Energy Laboratory (NREL), Golden, CO.


  • Creation: 2013-01-01


  • English


  • Content Description: This paper presents a new tool for testing wind plant controllers in the Simulator for Offshore Wind Farm Applications (SOWFA). SOWFA is a high-fidelity simulator for the interaction between wind turbine dynamics and the fluid flow in a wind plant. The new super-controller testing environment in SOWFA allows for the implementation of the majority of the wind plant control strategies proposed in the literature.
  • Physical Description: 12 p.


  • Keyword: Wind Energy
  • STI Subject Categories: 17 Wind Energy Wind Plants
  • Keyword: Software Tools
  • Keyword: Control Engineering
  • Keyword: Wind Plants


  • Conference: To be presented at EWEA 2013, 4-7 February 2013, Vienna, Austria


  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI


  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Article


  • Text


  • Report No.: NREL/CP-5000-57175
  • Grant Number: AC36-08GO28308
  • Office of Scientific & Technical Information Report Number: 1068611
  • Archival Resource Key: ark:/67531/metadc841987