• DocumentCode
    3050389
  • Title

    A free-model based power system stabilization

  • Author

    Lee, Kwang Y. ; Ko, Hee-Sang ; Kim, Ho-Chan ; Jin-Ho Lee ; Park, Young-Moon

  • Author_Institution
    Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1191
  • Abstract
    The free-model concept is introduced as an alternative intelligent system technique to design a controller with input and output data only. The idea of free model comes from the Taylor series approximation, where an output can be estimated when such data as position, velocity, and acceleration are known. The parameters in the free model can be estimated using the input-output data and a controller can be designed based on the free model. The free model thus developed is shown to be controllable, observable, and robust. The accuracy of the free-model approximation can be improved by increasing the observation window and the order of the free model. The LQR method is applied to the free model to design power system stabilizers (PSS) for the two tested power systems, and compared with the conventional PSS
  • Keywords
    approximation theory; control system synthesis; damping; linear quadratic control; power system control; power system stability; robust control; series (mathematics); LQR method; PSS; Taylor series approximation; alternative intelligent system technique; control design; controllability; free-model approximation; free-model based power system stabilization; input-output data; observability; power system stabilizers; robustness; Acceleration; Adaptive control; Artificial neural networks; Intelligent systems; Optimal control; Power system control; Power system modeling; Power systems; Robust control; Taylor series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Winter Meeting, 2001. IEEE
  • Conference_Location
    Columbus, OH
  • Print_ISBN
    0-7803-6672-7
  • Type

    conf

  • DOI
    10.1109/PESW.2001.917244
  • Filename
    917244