• DocumentCode
    3075560
  • Title

    Application of Fuzzy Adaptive Genetic Algorithm in Reactive Power Compensation Optimization of Power Station

  • Author

    Li, Xiao

  • Author_Institution
    Dept. of Comput. Sci., Ezhou Univ., Ezhou, China
  • fYear
    2011
  • fDate
    16-17 July 2011
  • Firstpage
    214
  • Lastpage
    217
  • Abstract
    Power station reactive power compensation optimization model has been optimized based on fuzzy adaptive genetic algorithm. Through examples of computer simulation, the minimum compensation for reactive power compensation optimization of power station is searched effectively. The results show that it is accord with actual application, which indicates that it is feasible of adaptive genetic algorithm applying in agricultural engineering optimization design.
  • Keywords
    genetic algorithms; power stations; agricultural engineering optimization design; computer simulation; fuzzy adaptive genetic algorithm; power station; reactive power compensation optimization model; Genetic algorithms; Genetics; Investments; Optimization; Reactive power; Voltage control; Fuzzy adaptive genetic algorithm; Reactive power optimizationCOptimization design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Society (ISCCS), 2011 International Symposium on
  • Conference_Location
    Kota Kinabalu
  • Print_ISBN
    978-1-4577-0644-8
  • Type

    conf

  • DOI
    10.1109/ISCCS.2011.66
  • Filename
    6004424
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3075560