DocumentCode
1176263
Title
State Estimator Condition Number Analysis
Author
Ebrahimian, R. ; Baldick, Ross
Author_Institution
The University of Texas at Austin, TX
Volume
21
Issue
5
fYear
2001
fDate
5/1/2001 12:00:00 AM
Firstpage
64
Lastpage
64
Abstract
This paper develops formulas for the condition number of the state estimation problem as a function of the different types and number of measurements. We present empirical results using the IEEE RTS-96 and IEEE 118 bus systems that validate the formulas.
Keywords
Costs; Genetic programming; ISO; Load modeling; Power generation economics; Power system modeling; Procurement; Quadratic programming; Reactive power; State estimation;
fLanguage
English
Journal_Title
Power Engineering Review, IEEE
Publisher
ieee
ISSN
0272-1724
Type
jour
DOI
10.1109/MPER.2001.4311389
Filename
4311389
Link To Document