• DocumentCode
    2427755
  • Title

    PSO algorithm applications in optimal demand decision

  • Author

    Chen, Jung-Chin ; Hwang, Jong-Ching ; Pan, Jeng-Shyang ; Huang, Yi-Chao

  • Author_Institution
    Dept. of Electr. Eng., Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
  • fYear
    2009
  • fDate
    17-20 May 2009
  • Firstpage
    2561
  • Lastpage
    2565
  • Abstract
    The aim of this research is to select the optimal demand contract for the TOU rate customer through PSO algorithm and to drop the electricity cost for the Taiwanese industry. PSO is an alternative population-based evolutionary computation technique, also it is has more fast convergence than GA to select optimal contract capacity for TOU rate customer. Results indicated that the PSO has been highly willing to Taiwanese industry in the optimal demand contract decision. Also this research aims at measuring the benefit on TOU rate and to provide decision-makers and managers with useful load management strategies as reference.
  • Keywords
    evolutionary computation; load management; particle swarm optimisation; electricity cost; evolutionary computation; load management; optimal demand decision; particle swarm optimisation; time of user rate; Algorithm design and analysis; Contracts; Cost function; Energy consumption; Engineering management; Failure analysis; Load management; Particle swarm optimization; Power system management; Technology management; Optimal demand contract; Particle swarm optimization (PSO); Time of Use (TOU) Rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Motion Control Conference, 2009. IPEMC '09. IEEE 6th International
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3556-2
  • Electronic_ISBN
    978-1-4244-3557-9
  • Type

    conf

  • DOI
    10.1109/IPEMC.2009.5157836
  • Filename
    5157836