• DocumentCode
    1581320
  • Title

    Fast technique for unit commitment by absolute stochastic simulated annealing

  • Author

    Senjyu, Tomonobu ; Saber, Ahmed Yousuf ; Urasaki, Naomitsu ; Funabashi, Toshihisa

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Ryukyus Univ., Okinawa, Japan
  • fYear
    2005
  • Firstpage
    1293
  • Abstract
    This paper presents a new approach for unit commitment problem using stochastic simulated annealing method. In every iteration, a solution is taken with a certain probability. Typically in simulated annealing method, a better solution is accepted deterministically, but other solutions are accepted with temperature dependent probability. That may lead to the local optimization. But in this paper, all the solutions, both better and worse, are associated with acceptance probabilities.
  • Keywords
    power generation dispatch; power generation scheduling; simulated annealing; stochastic processes; absolute stochastic simulated annealing; local optimization; temperature dependent probability; unit commitment; Costs; Electronic mail; Genetic algorithms; Genetic engineering; Large-scale systems; Power engineering and energy; Power generation; Power system simulation; Simulated annealing; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2005. IEEE
  • Print_ISBN
    0-7803-9157-8
  • Type

    conf

  • DOI
    10.1109/PES.2005.1489539
  • Filename
    1489539