• DocumentCode
    1291475
  • Title

    Economic Load Dispatch Constrained by Wind Power Availability: A Wait-and-See Approach

  • Author

    Liu, Xian

  • Author_Institution
    Dept. of Syst. Eng., Univ. of Arkansas at Little Rock, Little Rock, AR, USA
  • Volume
    1
  • Issue
    3
  • fYear
    2010
  • Firstpage
    347
  • Lastpage
    355
  • Abstract
    In this paper a load dispatch model for the system consisting of both thermal generators and wind turbines is developed. The stochastic wind power is included in the model as a constraint. It is shown that, under certain conditions, the presented model has a set of closed-form solutions. The availability of closed-form solutions is helpful to gain more fundamental insights, such as the impact of a particular parameter on the optimal solution. Moreover, the feasible ranges of optimal solutions are given in the case that the output power of thermal turbines is restricted. Furthermore, the probability distribution and the average of solutions are derived. This is called the wait-and-see approach in the discipline of stochastic programming. The present work shows that the effects of random wind speed on the generated power can be readily assessed.
  • Keywords
    power generation dispatch; statistical distributions; stochastic programming; thermal power stations; wind power plants; wind turbines; economic load dispatch; probability distribution; stochastic programming; thermal generator; thermal turbines; wind power; wind speed; wind turbine; Closed-form solution; Load modeling; Power generation; Power generation economics; Power system economics; Power system modeling; Stochastic processes; Wind energy; Wind energy generation; Wind turbines; Economic load dispatch; Weibull distribution; gamma function; optimization; renewable energy; smart grid; wind power;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2010.2057458
  • Filename
    5545487