• DocumentCode
    173437
  • Title

    Bad data validation on the basis of a posteriori analysis

  • Author

    Pazderin, A.V. ; Kochneva, Elena S.

  • Author_Institution
    Automated Electr. Syst. Dept., Ural Fed. Univ. named after the first President of Russia B.N. Yeltsin, Ekaterinburg, Russia
  • fYear
    2014
  • fDate
    13-16 May 2014
  • Firstpage
    386
  • Lastpage
    391
  • Abstract
    Reliability of metering information is very important. There are different mathematical methods of measurement data verification. Large quantity of the bad data identification techniques are proposed to identify low precision measurements. These methods are developed as a part of the state estimation problem to calculate the steady state on the basis of telemetry data. A new approach to the calculation of state variables vector is proposed. A posteriori algorithm of bad data validation is described in details. The example of bad data detection for test scheme is considered.
  • Keywords
    energy measurement; maximum likelihood estimation; power meters; power system reliability; smart meters; state estimation; bad data detection; bad data identification technique; bad data validation posteriori algorithm; measurement data verification mathematical method; metering information reliability; posteriori algorithm; state estimation; state variable vector; telemetry data; Energy measurement; Equations; Mathematical model; Measurement uncertainty; State estimation; Telemetry; Weight measurement; Bad data detection; Electric energy metering complex; Energy flow problem; Observability; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conference (ENERGYCON), 2014 IEEE International
  • Conference_Location
    Cavtat
  • Type

    conf

  • DOI
    10.1109/ENERGYCON.2014.6850456
  • Filename
    6850456