• DocumentCode
    264290
  • Title

    Tuning of power system stabilizer PSS using genetic algorithms

  • Author

    Trujillo Canales, Hugo ; Cisneros Torres, F. ; Silva Chavez, J.C.

  • fYear
    2014
  • fDate
    5-7 Nov. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The present work proposes a methodology to obtain setting parameters of a power system stabilizer (PSS), through the implementation of search technique based on genetic algorithms (GA). To adjust the PSS using GA, the programming and dynamic analysis using Matlab / Simulink is performed, which includes the synchronous machine, excitation system and PSS, where the response of the machine to a disturbance is observed, to search for the stabilization of the system by an optimal setting of PSS parameters obtained using GA. The modeling of the machine and its controls is performed considering machine infinite bus as outline.
  • Keywords
    genetic algorithms; power system stability; synchronous machines; Matlab-Simulink; PSS parameters; excitation system; genetic algorithms; machine infinite bus; power system stabilizer; search technique; synchronous machine; Biological cells; Damping; Generators; Genetic algorithms; Mathematical model; Oscillators; Rotors; Dynamic Stability; Genetic Algorithm; Power System Stabilizer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power, Electronics and Computing (ROPEC), 2014 IEEE International Autumn Meeting on
  • Conference_Location
    Ixtapa
  • Type

    conf

  • DOI
    10.1109/ROPEC.2014.7036350
  • Filename
    7036350