• DocumentCode
    2607956
  • Title

    A new method of tuning power system stabilisers

  • Author

    Chen, Luo-nan ; Petroianu, L. Chen A

  • Author_Institution
    Dept. of Electr. Eng., Cape Town Univ., Rondebosch, South Africa
  • Volume
    1
  • fYear
    1996
  • fDate
    26-29 May 1996
  • Firstpage
    454
  • Abstract
    A numerical optimization method using an H norm as the objective function was presented to tune a fixed structure power system stabiliser (PSS), thereby achieving a robust PSS (RPSS), while still maintaining the existing structure. A damping constraint was included to achieve the required damping, since optimal H control does not improve damping. To illustrate the method, a three machine-nine-bus system and a second order PSS were chosen. The RPSS was shown to be more robust than conventional PSS and improve the overall response of the system and not only the local mode of one generator. The RPSS was shown to be more practical than an optimal H, PSS. In summary, the tuning method presented in this paper has the following advantages over classical design techniques: better overall damping and robustness, no restriction on the number of parameters, and no fixed relationship between parameters. Compared with optimal H design methods, the method presented in this paper has the following advantages: PSS are of a pre-determined order and structure, overall damping is better, and no model reduction is required to obtain lower order PSS
  • Keywords
    H control; damping; power system control; power system stability; robust control; H norm; damping; numerical optimization method; objective function; optimal H control; power system stabilisers tuning; robust PSS; three machine-nine-bus system; Cities and towns; Constraint optimization; Control systems; Damping; Equations; Open loop systems; Power system modeling; Power systems; Robust control; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1996. Canadian Conference on
  • Conference_Location
    Calgary, Alta.
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-3143-5
  • Type

    conf

  • DOI
    10.1109/CCECE.1996.548134
  • Filename
    548134