Kalman filter based method for tracking dynamic transmission line parameters

Yiqi Zhang, Yuan Liao

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


Transmission line parameters are required by various power system applications. Thus, it is important to develop accurate transmission line parameter estimation methods. This paper puts forward Kalman filter based methods to track the dynamically changing line parameters. The proposed methods can overcome the estimation inaccuracy problem caused by the effect of the noise in the measurements. The proposed methods are based upon the equivalent- circuit of long line and utilize voltage and current data recorded by the Phasor Measurement Units at both ends of the line. Non-compensated and differently configured series compensated lines have been considered in this paper. The case studies demonstrate that the proposed methods have the capability of dynamically tracking changing line parameters and yield accurate estimates with the presence of measurement noises.

Original languageEnglish
Article number117
JournalSN Applied Sciences
Issue number1
StatePublished - Jan 2021

Bibliographical note

Publisher Copyright:
© 2021, The Author(s).


  • Kalman filters
  • Line parameter estimation
  • Phasor measurement units
  • Transmission lines

ASJC Scopus subject areas

  • General Engineering
  • General Chemical Engineering
  • General Environmental Science
  • General Materials Science
  • General Physics and Astronomy
  • General Earth and Planetary Sciences


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