• DocumentCode
    2955164
  • Title

    A Load Distribution Optimization among Turbine-generators Based on PSO-GA

  • Author

    Tao, Yan ; Jiatian, Xu ; Weiguo, Jiang

  • Author_Institution
    Jiangxi Province Electr. Power Res. Inst., Nanchang, China
  • Volume
    1
  • fYear
    2011
  • fDate
    28-29 March 2011
  • Firstpage
    15
  • Lastpage
    18
  • Abstract
    In concern with the slow-convergence disadvantage of GA, PSO is combined with GA in this paper for a load distribution optimization among turbine-generators. By comparison with GA method, it is shown that PSO-GA is better than the GA method in the aspect of calculation speed, bearing excellent stability and fast convergence.
  • Keywords
    genetic algorithms; load distribution; particle swarm optimisation; turbogenerators; PSO-GA method; load distribution optimization; turbine-generator; Coal; Gallium; Generators; Genetic algorithms; Optimization; Particle swarm optimization; Power generation; PSO; PSO-GA; genetic algorithm (GA); load distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
  • Conference_Location
    Shenzhen, Guangdong
  • Print_ISBN
    978-1-61284-289-9
  • Type

    conf

  • DOI
    10.1109/ICICTA.2011.11
  • Filename
    5750443
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2955164