• DocumentCode
    167614
  • Title

    The application of dynamic multi-swarm particle swarm optimization in the optimial dispatch of loads of thermal power unit

  • Author

    Meng Xin ; Gao Junru ; Li Peng ; She Na

  • Author_Institution
    Hebei Univ. of Eng., Handan, China
  • fYear
    2014
  • fDate
    8-9 May 2014
  • Firstpage
    573
  • Lastpage
    576
  • Abstract
    In this paper, a dynamic multi-swarm particle swarm optimization was carried out for the loads distribution method of thermal power plant, which avoids the standard particle swarm optimization easy to fall into local optimum faults. By dividing the particle swarm splits into two child particle swarm, which increases the diversity, enhances the exchange of information between particle swarm, obviously improves the convergence speed and precision and has better the globally researching optimization capability. By putting the algorithm into the optimal distribution of load of concrete problems, its effectiveness was verified.
  • Keywords
    load distribution; particle swarm optimisation; thermal power stations; convergence speed; dynamic multiswarm particle swarm optimization; load distribution method; optimial dispatch; thermal power unit; Discharges (electric); Neural networks; Optimization; MATLAB; dynamic multi-swarm particle swarm optimization; load distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computer and Applications, 2014 IEEE Workshop on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/IWECA.2014.6845685
  • Filename
    6845685