Title :
Kalman-filter based recursive regression for three-phase line parameter estimation using synchrophasor measurements
Author :
Chetan Mishra;Virgilio A. Centeno;Anamitra Pal
Author_Institution :
Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, 24061, USA
fDate :
7/1/2015 12:00:00 AM
Abstract :
In this paper estimation of three-phase transmission line parameters is done with the help of synchrophasor measurements by using a recursive regression technique based on the Kalman filter. The errors in the regression vector due to presence of noise in the synchrophasor data are also accounted for while estimating the parameters. The performance of this technique is demonstrated for a medium length transmission line. The results indicate that the proposed approach is able to successfully compute three phase transmission line parameters of non-transposed, non-symmetric lines.
Keywords :
"Transmission line measurements","Power transmission lines","Phasor measurement units","Measurement uncertainty","Estimation","Transmission line matrix methods","Noise measurement"
Conference_Titel :
Power & Energy Society General Meeting, 2015 IEEE
DOI :
10.1109/PESGM.2015.7285678