Extracting steady state values from phasor measurement unit data using FIR and median filters

Joseph Euzebe Tate, Thomas J. Overbye

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

Abstract

With the increased penetration of phasor measurement units (PMUs) within the power grid, there is a clear need for understanding the different filtering techniques which can be used to convert raw measurements into usable data. Because of the high sampling rate of PMUs, there are relatively high frequency components present in PMU signals when compared to traditional power system measurements. These components, which can range from 0.1 Hz to half the PMU sampling frequency, must be filtered out before the data can be used with steady state analysis techniques. This paper compares the performance of two different means of filtering out this higher frequency data - FIR filtering and median filtering. Several metrics are defined to quantify the behavior of these filters with a particular emphasis on handling measurements before and after system events. Results are presented based on both real and simulated PMU data. Based on these tests, observations regarding the advantages and disadvantages of the two filter types are discussed.

Original languageEnglish (US)
Title of host publication2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009
DOIs
StatePublished - Sep 22 2009
Event2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009 - Seattle, WA, United States
Duration: Mar 15 2009Mar 18 2009

Publication series

Name2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009

Other

Other2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009
CountryUnited States
CitySeattle, WA
Period3/15/093/18/09

Keywords

  • FIR digital filters
  • Median filters
  • Nonlinear filters
  • Phasor measurement units
  • Power system measurements
  • Power systems
  • Signal processing

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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