• DocumentCode
    1206815
  • Title

    An Economic Dispatch Model Incorporating Wind Power

  • Author

    Hetzer, John ; Yu, David C. ; Bhattarai, Kalu

  • Author_Institution
    Univ. of Wisconsin-Milwaukee, Milwaukee
  • Volume
    23
  • Issue
    2
  • fYear
    2008
  • fDate
    6/1/2008 12:00:00 AM
  • Firstpage
    603
  • Lastpage
    611
  • Abstract
    In solving the electrical power systems economic dispatch (ED) problem, the goal is to find the optimal allocation of output power among the various generators available to serve the system load. With the continuing search for alternatives to conventional energy sources, it is necessary to include wind energy conversion system (WECS) generators in the ED problem. This paper develops a model to include the WECS in the ED problem, and in addition to the classic economic dispatch factors, factors to account for both overestimation and underestimation of available wind power are included. With the stochastic wind speed characterization based on the Weibull probability density function, the optimization problem is numerically solved for a scenario involving two conventional and two wind-powered generators. Optimal solutions are presented for various values of the input parameters, and these solutions demonstrate that the allocation of system generation capacity may be influenced by multipliers related to the risk of overestimation and to the cost of underestimation of available wind power.
  • Keywords
    power generation dispatch; power generation economics; wind power; Weibull probability density function; economic dispatch model; optimal allocation; stochastic wind speed; wind energy conversion system; wind power; Character generation; Power generation; Power generation economics; Power system economics; Power system modeling; Probability density function; Stochastic processes; Wind energy; Wind energy generation; Wind speed; Economic dispatch; Weibull probability density function; penalty cost; reserve cost; wind energy;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2007.914171
  • Filename
    4505391