Title :
Least median of squares estimation in power systems
Author :
Mili, L. ; Phaniraj, V. ; Rousseeuw, P.J.
Author_Institution :
Dept of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
fDate :
5/1/1991 12:00:00 AM
Abstract :
An algorithm for solving LMS (least median of squares) in nonlinear systems has been proposed. The solutions are found through resampling methods based on linear approximations. These methods are suitable for parallel processing. The robustness of the LMS estimator has been verified on several test systems and illustrated on the IEEE 14-bus system. The concept of leverage points shed new light on the meter placement issue as well as the concepts of local redundancy and local breakdown point. A preliminary conclusion is that shorter lines have to be provided with enough measurements in order to increase their local redundancy. Indeed, they tend to be isolated in the factor space and weakly coupled with the surrounding measurements
Keywords :
power systems; state estimation; IEEE 14-bus system; least median of squares estimation; leverage points; linear approximations; local breakdown point; local redundancy; meter placement; nonlinear systems; parallel processing; power systems; resampling methods; Electric breakdown; Estimation theory; Least squares approximation; Power system modeling; Power system simulation; Power systems; Robustness; State estimation; Statistics; System testing;
Journal_Title :
Power Systems, IEEE Transactions on