• DocumentCode
    648121
  • Title

    GA and ANFIS based power system stabilizer

  • Author

    Gandhi, P.R. ; Joshi, S.K.

  • Author_Institution
    Electr. Eng. Dept., Sardar Vallabhbhai Patel Inst. of Technol., Vasad, India
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper discusses the design of genetics algorithm based proportional integral derivative-power system stabilizer and Adaptive Neuro Fuzzy Inference System based power system stabilizer for the stability analysis of the single machine infinite bus system. The controller has been used to generate the appropriate supplementary control signal for the excitation system of synchronous generator. The signal generated has been used to damp the low frequency oscillations and improves the performance of power system dynamics. The non- linear simulations of the system has been carried out, which results show the efficacy and capability of two schemes for the design of PSS under the various disturbances and faults conditions.
  • Keywords
    fuzzy systems; genetic algorithms; machine windings; power system dynamic stability; power system transient stability; synchronous generators; three-term control; ANFIS; adaptive neuro fuzzy inference system; genetics algorithm; low frequency oscillations; power system dynamics; power system stabilizer; proportional integral derivative; single machine infinite bus system; stability analysis; supplementary control signal; synchronous generator; Genetic algorithms; Oscillators; Power system dynamics; Power system stability; Power transmission lines; Rotors; Stability analysis; Adaptive Neuro Fuzzy Inference System; Eigen values; genetics algorithm; power system stabilizer; synchronous machine dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672689
  • Filename
    6672689