Series Compensated Transmission Line Parameter Estimation Based on Kalman Filter

Yiai Zhang, Yuan Liao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


In power systems, accurate transmission line parameters are critical as line parameters are essential inputs to various power system applications. Thus accurate line parameter estimation methods are required. In this paper, new Kalman filter based methods are proposed to estimate line parameters for long transmission lines with different line configurations while considering the effect of measurement noises. Simulations have been completed to demonstrate the performance of the proposed methods.

Original languageEnglish
Title of host publicationIEEE SoutheastCon 2020, SoutheastCon 2020
ISBN (Electronic)9781728168616
StatePublished - Mar 28 2020
Event2020 IEEE SoutheastCon, SoutheastCon 2020 - Virtual, Raleigh, United States
Duration: Mar 28 2020Mar 29 2020

Publication series

NameConference Proceedings - IEEE SOUTHEASTCON
ISSN (Print)0734-7502


Conference2020 IEEE SoutheastCon, SoutheastCon 2020
Country/TerritoryUnited States
CityVirtual, Raleigh

Bibliographical note

Publisher Copyright:
© 2020 IEEE.


  • Kalman filter
  • Measurement noise
  • PMU
  • line parameter estimation
  • transmission line

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Signal Processing


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