• DocumentCode
    622127
  • Title

    Optimization methods for constrained stochastic wind power economic dispatch

  • Author

    Zia, Fahad ; Nasir, Mashood ; Bhatti, A.A.

  • Author_Institution
    Univ. of Manage. & Technol., Lahore, Pakistan
  • fYear
    2013
  • fDate
    3-4 June 2013
  • Firstpage
    129
  • Lastpage
    133
  • Abstract
    An economic load dispatch model developed for both wind turbines and thermal generators is presented in this paper. In the model, the wind power is considered as a constraint due to random nature of wind speed. This optimization problem is solved to obtain optimal power outputs of thermal generators, while taking into account of given constraints. All these optimal outputs and available wind power must satisfy the load generation balance of the power system. The closed form solution of this model is not possible due to the inequality constraints and this problem is solved by introducing a penalty function or barrier function in the model to take account of inequality constraints. The feasible ranges of optimum solutions are obtained by using the developed models based on penalty function and interior point methods.
  • Keywords
    hybrid power systems; load dispatching; optimisation; power generation economics; thermal power stations; wind power plants; wind turbines; barrier function; closed form solution; constrained stochastic wind power economic dispatch; economic load dispatch model; inequality constraints; interior point methods; load generation balance; optimal power outputs; optimization methods; penalty function; power system; thermal generators; wind speed; wind turbines; Economics; Generators; Load modeling; Mathematical model; Optimization; Wind power generation; Wind speed; Economic Load Dispatch; interior point method; penalty function method; weibull distribution; wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4673-5072-3
  • Type

    conf

  • DOI
    10.1109/PEOCO.2013.6564529
  • Filename
    6564529