• DocumentCode
    3268106
  • Title

    Hybrid algorithms for power system unit commitment

  • Author

    Jenkins, Lawrence

  • Author_Institution
    Indian Inst. of Sci., Bangalore
  • fYear
    2007
  • fDate
    5-8 Aug. 2007
  • Firstpage
    678
  • Lastpage
    681
  • Abstract
    Four hybrid algorithms has been developed for the solution of the unit commitment problem. They use simulated annealing as one of the constituent techniques, and produce lower cost schedules; two of them have less overhead than other soft computing techniques. They are also more robust to the choice of parameters. A special technique avoids the generating of infeasible schedules, and thus reduces computation time.
  • Keywords
    power generation scheduling; simulated annealing; hybrid algorithms; power system unit commitment; simulated annealing; soft computing techniques; Computational modeling; Costs; Fuels; Genetic algorithms; Hybrid power systems; Linear programming; Power system simulation; Processor scheduling; Scheduling algorithm; Simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2007. MWSCAS 2007. 50th Midwest Symposium on
  • Conference_Location
    Montreal, Que.
  • ISSN
    1548-3746
  • Print_ISBN
    978-1-4244-1175-7
  • Electronic_ISBN
    1548-3746
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2007.4488670
  • Filename
    4488670