• DocumentCode
    606294
  • Title

    Genetically optimized IPFC for improving transient stability performance in power systems

  • Author

    Gopinath, B. ; SureshKumar, S. ; Ramya, M.

  • Author_Institution
    Vivekanandha College of Engineering for Women, Tamilnadu, India
  • fYear
    2013
  • fDate
    20-21 March 2013
  • Firstpage
    120
  • Lastpage
    125
  • Abstract
    This paper fully based on the Interline Power Flow Controller(IPFC) with optimal power flow in Transmission System, because the flow of electricity through the transmission lines can be effectively controlled by using IPFC. This paper contains IPFC is developed for four bus system. The performance of IPFC with Genetic controller and PI controller can evaluate in single-machine and multimachine power systems subjected to various transient disturbances. Optimal injected parameters will be installed IPFC derived for superior transient stability performance using Genetic Algorithm (GA). Genetic optimization parameter has been developed to design intelligent adaptive controllers for improving the transient stability compared with other controller. Simulation is done by MATLAB/ SIMULINK.
  • Keywords
    Load modeling; MATLAB; Optimization; Sociology; Stability analysis; Statistics; Genetic Algorithm (GA); IPFC; MATLAB/SIMULINK; PI controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits, Power and Computing Technologies (ICCPCT), 2013 International Conference on
  • Conference_Location
    Nagercoil
  • Print_ISBN
    978-1-4673-4921-5
  • Type

    conf

  • DOI
    10.1109/ICCPCT.2013.6529051
  • Filename
    6529051