• DocumentCode
    384858
  • Title

    Identification of weak busbars in large scale power system

  • Author

    Li, Han ; Song, Y.H.

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Brunel Univ., Uxbridge, UK
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1700
  • Abstract
    This paper presents an improved singular value decomposition method for identifying weak busbars in terms of voltage stability in large-scale power system. It employs a continuation load flow to push the system to the voltage collapse limit, and at that point calculates the indicative voltage stability margin and performs singular value decomposition. This method overcomes the main drawback of the standard singular value decomposition failing to give reliable results when applied to large-scale network. Several techniques, including polar-form optimal multiplier, binomial-searching technique and uniform reactive loading, are introduced in the newly developed algorithm to improve the reliability of weak busbar identification and the accuracy of calculation of voltage collapse indicator. The developed algorithm was applied to small testing systems, as well as large realistic power systems with over 2600 busbars, with satisfactory results.
  • Keywords
    busbars; load flow; power system dynamic stability; power system identification; singular value decomposition; binomial-searching technique; continuation load flow; indicative voltage stability margin; large-scale power system; polar-form optimal multiplier; power flow analysis; reliability improvement; singular value decomposition method; uniform reactive loading; voltage collapse limit; voltage stability; weak busbars identification; Accuracy; Large-scale systems; Load flow; Power system planning; Power system reliability; Power system stability; Power systems; Singular value decomposition; System testing; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
  • Print_ISBN
    0-7803-7459-2
  • Type

    conf

  • DOI
    10.1109/ICPST.2002.1067823
  • Filename
    1067823