• DocumentCode
    3340190
  • Title

    Comprehensive wind power interconnection evaluation method based on LMP market simulation

  • Author

    Liu, Shu ; Trinh, Lan ; Zhu, Jinxiang ; Moore, Maria

  • Author_Institution
    Transm. Syst. Consulting, ABB Inc.´´s Power Syst. Grid Syst., Raleigh, NC, USA
  • fYear
    2009
  • fDate
    28-30 Sept. 2009
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    This study provides valuable evaluations and recommendations for the interconnection of large wind projects to a major power grid. Focusing on the intermittent nature of the wind power, a Monte Carlo method has been included in the power market simulation. By performing a dispatch for each hour, the expected behavior of generating resources in the market under a variety of conditions can be studied. The probabilistic nature of the revenue of a wind farm was analyzed to provide complete information for comparing different wind farm interconnection alternatives. This kind of method provides important information which is much more consistent with future realistic wind farm performance. By evaluating the probabilistic results, the best wind farm interconnect location will be chosen.
  • Keywords
    Monte Carlo methods; power markets; power system interconnection; power system simulation; wind power plants; LMP market simulation; Monte Carlo method; comprehensive wind power interconnection evaluation method; generating resources; large wind projects; major power grid; power market simulation; wind farm interconnect location; wind farm interconnection; Electricity supply industry; Power generation; Power markets; Power system interconnection; Power systems; Renewable energy resources; Wind energy; Wind energy generation; Wind farms; Wind power generation; Monte Carlo; power market simulation; wind farm interconnection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Alternative Energy (SAE), 2009 IEEE PES/IAS Conference on
  • Conference_Location
    Valencia
  • Print_ISBN
    978-1-4244-4430-4
  • Electronic_ISBN
    978-1-4244-4431-1
  • Type

    conf

  • DOI
    10.1109/SAE.2009.5534877
  • Filename
    5534877