• DocumentCode
    2819133
  • Title

    Multi-objective stochastic economic dispatch

  • Author

    Keshmiri, S. Nasser ; Gao, Wenzhong

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tennessee Tech Univ., Cookeville, TN, USA
  • fYear
    2010
  • fDate
    26-28 Sept. 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents an optimized stochastic formulation for the economic dispatch problem of power system including wind power based on both short-term and long-term behaviour of the wind speed and wind power in a specific area. And according to the formulation, a multi-objective optimization formula is given to be used in the economic dispatch problem. The multi-objective optimization problem applies Weibull distribution function and Normal distribution function as short-term and long-term characterizing functions of the wind speed, respectively. The operation cost functions of the wind turbines are also obtained from real empirical data which fulfills the required accuracy of the method. The proposed method is also the first of its kind which considers the aging of the wind farms in the economic dispatch problem. Several different simulation scenarios are considered and various sensitivity analyses are performed.
  • Keywords
    Weibull distribution; normal distribution; power system economics; wind power; Weibull distribution function; economic dispatch; multiobjective optimization; normal distribution function; power system; wind power; wind speed; wind turbine; Cost function; Economics; Generators; Wind farms; Wind power generation; Wind speed; Multi-Objective Optimization; Probability Density Function; Stochastic Economic Dispatch; wind energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    North American Power Symposium (NAPS), 2010
  • Conference_Location
    Arlington, TX
  • Print_ISBN
    978-1-4244-8046-3
  • Type

    conf

  • DOI
    10.1109/NAPS.2010.5619590
  • Filename
    5619590