• DocumentCode
    51643
  • Title

    Methodology for Performing Synchrophasor Data Conditioning and Validation

  • Author

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

  • Author_Institution
    Dominion Virginia Power, Virginia Electr. & Power Co., Richmond, VA, USA
  • Volume
    30
  • Issue
    3
  • fYear
    2015
  • fDate
    May-15
  • Firstpage
    1121
  • Lastpage
    1130
  • 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.
  • Keywords
    SCADA systems; phasor measurement; power system state estimation; PMU; SCADA; data stream quality; linear estimator; linear state estimation; phasor measurement unit; synchrophasor data conditioning; synchrophasor data quality problem; Current measurement; Data models; Kalman filters; Mathematical model; Phasor measurement units; Prediction algorithms; Smoothing methods; Data quality; Kalman filter; phasor measurement unit (PMU); state estimation;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2347047
  • Filename
    6889046