DocumentCode :
1543915
Title :
Analysis of ill-conditioned power-flow problems using voltage stability methodology
Author :
Wang, Y. ; da Silva, L.C.P. ; Xu, W. ; Zhang, Y.
Author_Institution :
Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada
Volume :
148
Issue :
5
fYear :
2001
fDate :
9/1/2001 12:00:00 AM
Firstpage :
384
Lastpage :
390
Abstract :
Ill-conditioned power-flow problems have been widely investigated and reported in the literature. A typical approach develops enhanced solution algorithms when a power-flow case is found divergent with the conventional Newton method. It is known that a genuine ill-conditioned problem is caused by the presence of a large condition number in the power-flow Jacobian matrix. Since a large condition number is associated with small singular values or eigenvalues of a matrix and the voltage collapse is also related to small eigenvalues, it is therefore postulated that an ill-conditioned power-flow problem is actually a voltage collapse problem. The objective of this paper is to investigate the relationship between power-flow ill-conditioning and voltage instability. The findings confirm that power-flow ill-conditioning only occurs at the voltage collapse point. As a result. Developing improved algorithms to solve the problem is an unprofitable strategy. The well-known voltage stability assessment techniques such as the PV curve method are sufficient for the problem. This conclusion is supported with case studies on five widely known ill-conditioned power-flow problems and rigorous mathematical analysis
Keywords :
Jacobian matrices; eigenvalues and eigenfunctions; load flow; power system dynamic stability; Newton method; PV curve method; ill-conditioned power-flow problems; large condition number; mathematical analysis; matrix; power-flow Jacobian matrix; small singular eigenvalues; small singular values; voltage collapse; voltage collapse point; voltage instability; voltage stability methodology; well-known voltage stability assessment techniques;
fLanguage :
English
Journal_Title :
Generation, Transmission and Distribution, IEE Proceedings-
Publisher :
iet
ISSN :
1350-2360
Type :
jour
DOI :
10.1049/ip-gtd:20010424
Filename :
959666
Link To Document :
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