• DocumentCode
    2857633
  • Title

    The role of co-located storage for wind power producers in conventional electricity markets

  • Author

    Bitar, E. ; Rajagopal, Ram ; Khargonekar, P. ; Poolla, K.

  • Author_Institution
    Dept. of Mech. Eng., U.C. Berkeley, Berkeley, CA, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    3886
  • Lastpage
    3891
  • Abstract
    In this paper we study the problem of optimizing contract offerings for an independent wind power producer (WPP) participating in conventional day-ahead forward electricity markets for energy. As wind power is an inherently variable source of energy and is difficult to predict, we explore the extent to which co-located energy storage can be used to improve expected profit and mitigate the the financial risk associated with shorting on the offered contracts. Using a simple stochastic model for wind power production and a model for the electricity market, we show that the problem of determining optimal contract offerings for a WPP with co-located energy storage can be solved using convex programming.
  • Keywords
    convex programming; power markets; risk management; stochastic programming; WPP; co-located storage; convex programming; electricity markets; financial risk; stochastic model; wind power production; Contracts; Electricity supply industry; Energy storage; Portfolios; Production; Schedules; Wind power generation; Electricity Markets; Energy Storage; Renewable Energy; Smart Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5991431
  • Filename
    5991431