• DocumentCode
    893760
  • Title

    Transient stability analysis of large-scale power systems with speed governor via vector Lyapunov functions

  • Author

    Shaaban, H. ; Gruji¿¿, Lj.

  • Author_Institution
    University of Menoufia, Faculty of Engineering and Technology, Menouf, Egypt
  • Volume
    132
  • Issue
    2
  • fYear
    1985
  • fDate
    3/1/1985 12:00:00 AM
  • Firstpage
    45
  • Lastpage
    52
  • Abstract
    In the paper, transient stability analysis of an N-machine power system is carried out using the decomposition-aggregation method. In the study, transfer conductances, mechanical damping, electromagnetic damping and speed governor action are taken into consideration. The system decomposition is performed so that every subsystem includes three machines, instead of only two machines as for the pair-wise decomposition. The system mathematical model is derived and decomposed into (N ¿¿ l)/2 sixth-order and one second-order interconnected subsystems. A vector Lyapunov function, whose elements are Lyapunov functions of the free (disconnected) subsystems, is constructed and used for the system aggregation. A seven-machine power system is used as an illustrative example, and an asymptotic stability domain estimate is determined for the system. It is found that the proposed decomposition scheme can lead to a considerable reduction in the conservativeness of the decomposition-aggregation method. It is found also that the pair-wise decomposition-aggregation approaches developed so far are not suitable for stability analysis of largescale power systems.
  • Keywords
    large-scale systems; power systems; stability; transients; asymptotic stability domain estimate; decomposition-aggregation method; large-scale power systems; seven-machine power system; speed governor; transient stability analysis; vector Lyapunov functions;
  • fLanguage
    English
  • Journal_Title
    Control Theory and Applications, IEE Proceedings D
  • Publisher
    iet
  • ISSN
    0143-7054
  • Type

    jour

  • DOI
    10.1049/ip-d.1985.0009
  • Filename
    4642288