P-class phasor measurement unit algorithms using adaptive filtering to enhance accuracy at off-nominal frequencies

Andrew Roscoe, I. F Abdulhadi, Graeme Burt

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

14 Citations (Scopus)
98 Downloads (Pure)

Abstract

While the present standard C.37.118-2005 for Phasor Measurement Units (PMUs) requires testing only at steady-state conditions, proposed new versions of the standard require much more stringent testing, involving frequency ramps and off-nominal frequency testing. This paper presents two new algorithms for “P Class” PMUs which enable performance at off-nominal frequencies to be retained at levels comparable to the performance for nominal frequency input. The performances of the algorithms are compared to the “Basic” Synchrophasor Estimation Model described in the new standard. The proposed algorithms show a much better performance than the “Basic” algorithm, particularly in the measurements of frequency and rate-of-change-of-frequency at off-nominal frequencies and in the presence of unbalance and harmonics.
Original languageEnglish
Title of host publication2011 IEEE International Conference on Smart Measurements for Future Grids (SMFG)
PublisherIEEE
Pages51-58
Number of pages8
ISBN (Print)9781457713132
DOIs
Publication statusPublished - 1 Nov 2011
EventIEEE International Conference on Smart Measurements for Future Grids (SMFG) - Bologna, Italy
Duration: 14 Nov 2011 → …

Conference

ConferenceIEEE International Conference on Smart Measurements for Future Grids (SMFG)
CountryItaly
CityBologna
Period14/11/11 → …

Keywords

  • adaptive filtering
  • adaptive filters
  • discrete Fourier transforms
  • correlation
  • filtering algorithms
  • frequency measurement
  • finite impulse response filter

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    Roscoe, A., Abdulhadi, I. F., & Burt, G. (2011). P-class phasor measurement unit algorithms using adaptive filtering to enhance accuracy at off-nominal frequencies. In 2011 IEEE International Conference on Smart Measurements for Future Grids (SMFG) (pp. 51-58). IEEE. https://doi.org/10.1109/SMFG.2011.6125761