Title :
State Estimator Condition Number Analysis
Author :
Ebrahimian, R. ; Baldick, Ross
Author_Institution :
The University of Texas at Austin, TX
fDate :
5/1/2001 12:00:00 AM
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;
Journal_Title :
Power Engineering Review, IEEE
DOI :
10.1109/MPER.2001.4311389
