• DocumentCode
    1444155
  • Title

    Increased Wind Revenue and System Security by Trading Wind Power in Energy and Regulation Reserve Markets

  • Author

    Liang, Jiaqi ; Grijalva, Santiago ; Harley, Ronald G.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    2
  • Issue
    3
  • fYear
    2011
  • fDate
    7/1/2011 12:00:00 AM
  • Firstpage
    340
  • Lastpage
    347
  • Abstract
    Due to the variability and limited predictability of wind power, wind producers participating in most electricity markets are subject to significant deviation penalties during market settlements, and system operators need to schedule additional reserve to balance the unpredicted wind power variations. This paper proposes a combined energy and regulation reserve market model to encourage wind producers to regulate their short-term outputs. With a reserve market designed with lower deviation penalties, wind producers can increase their revenue by optimally bidding in the energy and reserve markets to reduce their deviation penalties. Meanwhile, part of the intrahour wind variations, which would have appeared in the system energy balance, is diverted into the system regulation reserve. The system then benefits from facing less wind energy intrahour variations, demanding less short-term reserve for wind variations, and having additional fast, although variable, regulation reserve from wind plants, which are likely to enhance grid security and operations in high wind penetration scenarios. A test case is studied to demonstrate the effectiveness of the proposed market model and bidding strategy on increasing the wind plant revenue and grid security.
  • Keywords
    power generation economics; power markets; power system security; wind power plants; bidding strategy; deviation penalties; electricity markets; energy reserve markets; grid security; high wind penetration scenarios; power system security; regulation reserve markets; wind energy intrahour variations; wind plant revenue; wind power variations; Electricity supply industry; Probabilistic logic; Real time systems; Wind forecasting; Wind power generation; Bidding strategy; electricity market; power system security; regulation reserve; wind energy;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2011.2111468
  • Filename
    5710000