• DocumentCode
    1586944
  • Title

    Ride-through capability predictions for wind power plants in the ERCOT network

  • Author

    Muljadi, E. ; Butterfield, C.P. ; Conto, J. ; Donohoo, K.

  • Author_Institution
    Nat. Renewable Energy Lab., Golden, CO, USA
  • fYear
    2005
  • Firstpage
    72
  • Abstract
    Utility system operators and engineers now want a better understanding of the impacts of large wind farms on grid stability before the farms are interconnected to the grid. Utilities need wind farm electrical models and methods of analysis that helps them analyze potential problems of grid stability. Without the necessary tools and knowledge of the behavior of large wind power plants, utilities are reluctant to integrate more wind power into the grid. The dynamic models used in this paper were developed by Power Technologies Inc. (PTI), under subcontract from ERCOT. A three-phase fault on important buses are tested, and the impact on wind farms are investigated. Two methods, dynamic analysis and steady state analysis (Zbus prediction), is used to predict the low voltage ride through capability of the wind farms. Comparison between the two methods are presented.
  • Keywords
    power generation faults; power grids; power system interconnection; power system stability; wind power plants; ERCOT network; dynamic analysis; grid stability; ride-through capability predictions; steady state analysis; three-phase fault; wind farms; wind power plants; Power engineering and energy; Power system interconnection; Power system modeling; Power system stability; Stability analysis; Subcontracting; Systems engineering and theory; Testing; Wind energy; Wind farms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2005. IEEE
  • Print_ISBN
    0-7803-9157-8
  • Type

    conf

  • DOI
    10.1109/PES.2005.1489757
  • Filename
    1489757