Estimation of missing transmission line reactance data using multiple linear regression

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


This paper explores the use of Multiple Linear Regression techniques in order to estimate sections of missing line reactance data sometimes found in the data received from synchrophasor measurement units. The high correlation between transmission line reactance and the system frequency is used to predict these estimates. Dynamic predictor coefficients are used to improve accuracy of the estimations and analysis is done to determine the most appropriate parameters to use in the regression model. All model building, analysis and testing is done using multiple sections of real PMU data.

Original languageEnglish
Title of host publication2017 North American Power Symposium, NAPS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538626993
ISBN (Print)9781538627006
Publication statusPublished - 16 Nov 2017
Event2017 North American Power Symposium, NAPS 2017 - Morgantown, United States
Duration: 17 Sept 201719 Sept 2017


Conference2017 North American Power Symposium, NAPS 2017
Country/TerritoryUnited States


  • Estimation
  • Multiple Linear Regression
  • PMU
  • Smart Grid
  • Synchrophasor Measurement Units

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