• DocumentCode
    1448961
  • Title

    Bringing Wind Energy to Market

  • Author

    Bitar, E.Y. ; Rajagopal, Ram ; Khargonekar, Pramod P. ; Poolla, K. ; Varaiya, Pravin

  • Author_Institution
    Dept. of Mech. Eng., Univ. of California at Berkeley, Berkeley, CA, USA
  • Volume
    27
  • Issue
    3
  • fYear
    2012
  • Firstpage
    1225
  • Lastpage
    1235
  • Abstract
    Wind energy is a rapidly growing source of renewable energy generation. However, the current extra-market approach to its assimilation into the electric grid will not scale at deep penetration levels. In this paper, we investigate how an independent wind power producer might optimally offer its variable power into a competitive electricity market for energy. Starting with a stochastic model for wind power production and a model for a perfectly competitive two-settlement market, we derive explicit formulae for optimal contract offerings and the corresponding optimal expected profit. As wind is an inherently variable source of energy, we explore the sensitivity of optimal expected profit to uncertainty in the underlying wind process. We also examine the role of forecast information and recourse markets in this setting. We quantify the role of reserves in increasing reliability of offered contracts and obtain analytical expressions for marginal profits resulting from investments in improved forecasting and local auxiliary generation. The formulae make explicit the relationship between price signals and the value of such firming strategies.
  • Keywords
    load forecasting; power generation economics; power generation reliability; power grids; power markets; renewable energy sources; stochastic processes; wind power plants; contract reliability; deep penetration level; electric grid; electricity market; extra-market approach; forecast information; independent wind power production; local auxiliary generation; marginal profit; optimal contract offering; optimal expected profit; renewable energy generation; stochastic model; wind energy; Contracts; Production; Schedules; Uncertainty; Wind energy; Wind forecasting; Wind power generation; Electricity markets; smart grid; wind energy;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2012.2183395
  • Filename
    6152190