DocumentCode
3665237
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
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
1
Lastpage
5
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"
Publisher
ieee
Conference_Titel
Power & Energy Society General Meeting, 2015 IEEE
ISSN
1932-5517
Type
conf
DOI
10.1109/PESGM.2015.7285678
Filename
7285678
Link To Document