Methodology for Performing Synchrophasor Data Conditioning and Validation

Kevin D. Jones, Anamitra Pal, James S. Thorp

Research output: Contribution to journalArticlepeer-review

113 Scopus citations

Abstract

A phasor measurement unit (PMU) only state estimator is intrinsically superior to its SCADA analogue with respect to speed, performance, and reliability. However, ensuring the quality of the data stream which enters the linear estimator is crucial before establishing it as the front end of an EMS or other network applications. One approach is to pre-process the phasor data before it arrives at the linear estimator. This paper presents an algorithm for synchrophasor data conditioning and repair that fits neatly as a prefix into the existing linear state estimation formulation. The methodology has been tested using field data obtained from PMUs installed in Dominion Virginia Power's (DVP's) EHV network. The results indicate that the proposed technique provides a computationally simple, elegant solution to the synchrophasor data quality problem.

Original languageEnglish (US)
Article number6889046
Pages (from-to)1121-1130
Number of pages10
JournalIEEE Transactions on Power Systems
Volume30
Issue number3
DOIs
StatePublished - May 1 2015
Externally publishedYes

Keywords

  • Data quality
  • Kalman filter
  • phasor measurement unit (PMU)
  • state estimation

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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