A linear estimator for transmission line parameters based on distributed parameter line model

Xiangqing Jiao, Yuan Liao

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

14 Scopus citations

Abstract

Transmission line parameters are critical inputs to a variety of power system analysis algorithms. To ensure the precision of line parameters, this paper proposes a novel linear method to estimate transmission line parameters, including series resistance, series reactance, and shunt susceptance, for non-compensated and series-compensated lines. Voltage and current phasors obtained by phasor measurement units (PMUs) from both ends are utilized in the algorithm. Linear least squares method is applied when multiple sets of measurements are available for improved accuracy. Distributed parameter line model is employed in developing the algorithm. An optimal estimator is also proposed, which can detect and identify possible measurement errors, although this type of method is no longer linear. The estimated line parameters can be used to determine line temperature and conductor sag. Evaluations studies demonstrate the effectiveness of the proposed methods.

Original languageEnglish
Title of host publication2017 IEEE Power and Energy Conference at Illinois, PECI 2017
ISBN (Electronic)9781509055517
DOIs
StatePublished - May 30 2017
Event2017 IEEE Power and Energy Conference at Illinois, PECI 2017 - Urbana, United States
Duration: Feb 23 2017Feb 24 2017

Publication series

Name2017 IEEE Power and Energy Conference at Illinois, PECI 2017

Conference

Conference2017 IEEE Power and Energy Conference at Illinois, PECI 2017
Country/TerritoryUnited States
CityUrbana
Period2/23/172/24/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • bad measurement detection and identification
  • distributed parameter line model
  • linear estimation
  • transmission line parameter estimation

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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