Kalman-filter based recursive regression for three-phase line parameter estimation using synchrophasor measurements

Chetan Mishra, Virgilio A. Centeno, Anamitra Pal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2015 IEEE Power and Energy Society General Meeting, PESGM 2015
PublisherIEEE Computer Society
Volume2015-September
ISBN (Electronic)9781467380409
DOIs
StatePublished - Sep 30 2015
Externally publishedYes
EventIEEE Power and Energy Society General Meeting, PESGM 2015 - Denver, United States
Duration: Jul 26 2015Jul 30 2015

Other

OtherIEEE Power and Energy Society General Meeting, PESGM 2015
CountryUnited States
CityDenver
Period7/26/157/30/15

Keywords

  • Kalman filter
  • Phasor measurement units (PMUs)
  • Recursive regression
  • Synchrophasors
  • Transmission line parameter estimation

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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  • Cite this

    Mishra, C., Centeno, V. A., & Pal, A. (2015). Kalman-filter based recursive regression for three-phase line parameter estimation using synchrophasor measurements. In 2015 IEEE Power and Energy Society General Meeting, PESGM 2015 (Vol. 2015-September). [7285678] IEEE Computer Society. https://doi.org/10.1109/PESGM.2015.7285678