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
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