• DocumentCode
    803122
  • Title

    Speeding up the computations of the minimum singular value of the load flow Jacobian matrix

  • Author

    Calderon-Guizar, J.G.

  • Author_Institution
    Unidad de Analisis de Redes, Inst. de Investigaciones Electricas, Morelos, Mexico
  • Volume
    19
  • Issue
    9
  • fYear
    1999
  • Firstpage
    55
  • Lastpage
    56
  • Abstract
    The use of the minimum singular value (MSV) of the load flow Jacobian has been proposed as a security index for monitoring how close the operating condition of a power system is to a voltage instability. However, direct computation of singular value decomposition (SVD) is a very time consuming task. P.A. Lof et al. (see IEEE Trans. on Power Systems, vol.7, no.1, p.54-64, 1992) report on an elegant and an efficient algorithm for the computation of the MSV of the load flow Jacobian matrix (LFJM). This algorithm greatly reduces the time required for the computation of the MSV. In this letter, a new starting condition that reduces the computation time for the iterative process described by Lof et al. is proposed.
  • Keywords
    Jacobian matrices; load flow; power system dynamic stability; power system security; singular value decomposition; iterative process; load flow Jacobian matrix; minimum singular value computation; operating condition monitoring; power system monitoring; security index; singular value decomposition; starting condition; voltage instability; Condition monitoring; Iterative algorithms; Jacobian matrices; Load flow; Power system analysis computing; Power system security; Power system stability; Singular value decomposition; Steady-state; Voltage;
  • fLanguage
    English
  • Journal_Title
    Power Engineering Review, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1724
  • Type

    jour

  • DOI
    10.1109/MPER.1999.1236743
  • Filename
    1236743