• DocumentCode
    547607
  • Title

    An improved Tabu search algorithm and PSO for unit commitment problem solving

  • Author

    Khatibzadeh, Ahmad Ali ; Khanbeigi, Ghafur Ahmad ; Bamdadian, Mohamad Mehdi ; Naderi, Heresh ; Sheikh-el-Eslami, Mohamad Kazem

  • Author_Institution
    Power system Lab, Tarbiat Modares University
  • fYear
    2011
  • fDate
    17-19 May 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    One of the important tasks of system operators in electricity network is Unit commitment. Considering development of electricity market restructuring in generation side, the Generating and Transition costs will be decreased in a high scale by right committing of this operation. This paper proposes to represent compromise improved TS and enhanced PSO in the sense of accuracy and speed of solution. The priority of this method is determined more speed and less accuracy in the sense of PSO method by derived numerical results checking.
  • Keywords
    Artificial neural networks; Equations; Generators; Mathematical model; Optimization; Power systems; Production; Optimization; PSO; TS; UC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2011 19th Iranian Conference on
  • Conference_Location
    Tehran, Iran
  • Print_ISBN
    978-1-4577-0730-8
  • Electronic_ISBN
    978-964-463-428-4
  • Type

    conf

  • Filename
    5955495