• DocumentCode
    3470342
  • Title

    GA based algorithm for optimum allocation of reactive power under deregulated environment

  • Author

    Sinha, Nidul ; Lai, Loi Lei ; Ghosh, Palash Kumar

  • Author_Institution
    Dept. of Electr. Eng., NIT, Silchar
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    926
  • Lastpage
    932
  • Abstract
    An algorithm using floating point genetic algorithm (FPGA) was developed to solve the problem of optimum allocation of reactive power in power systems under open market environment. The performance of the proposed model is validated on IEEE-14 bus system with modifications to incorporate the varying working conditions of power systems like, change of tap settings of transformers, variable reactive power compensations, etc. Results of the FPGA demonstrate that the algorithm is well competent in achieving the near optimal allocation of reactive power under practical constraints and price based conditions.
  • Keywords
    electricity supply industry deregulation; genetic algorithms; reactive power; IEEE-14 bus system; deregulated environment; floating point genetic algorithm; optimum allocation; reactive power; Costs; Genetic algorithms; ISO; Power engineering and energy; Power generation; Power generation economics; Power system management; Power system modeling; Pricing; Reactive power; Ancillary Services; Deregulation of Electric Industry; Floating Point Genetic Algorithm; Reactive Power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523539
  • Filename
    4523539