@inproceedings{mishra_kalman-filter_2015,
	address = {Denver, CO},
	title = {Kalman-filter based recursive regression for three-phase line parameter estimation using synchrophasor measurements},
	url = {https://ieeexplore.ieee.org/abstract/document/7285678},
	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.},
	booktitle = {IEEE Power Energy Society General Meeting},
	author = {Mishra, Chetan and Centeno, Virgilio A. and Pal, Anamitra},
	month = jul,
	year = {2015},
	keywords = {Estimation, Kalman filter, Measurement uncertainty, Noise measurement, Phasor measurement units, Phasor measurement units (PMUs), Power transmission lines, Recursive regression, Synchrophasors, Transmission line matrix methods, Transmission line measurements, Transmission line parameter estimation},
	pages = {1--5},
}

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