• DocumentCode
    570316
  • Title

    Impact of tuning on bad data detection of PMU measurements

  • Author

    Zhang, Liuxi ; Abur, Ali

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
  • fYear
    2012
  • fDate
    21-24 May 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Bad measurements are usually detected and identified by normalized measurement residual test through state estimators. This function relies on the accurate measurement weight assigned according to historical data. Since such information may not be available for new meters such as phasor measurement units (PMUs), a weight tuning algorithm for PMUs has been developed in a previous work. This paper investigates impact of the tuning algorithm on bad data detection of PMU measurements. It proposes a systematic method to improve the robustness of error detection and identification for PMU measurements. Simulations in IEEE 14-bus system are used to illustrate the benefits of suggested approach.
  • Keywords
    IEEE standards; phasor measurement; power system state estimation; tuning; weighing; IEEE 14- bus system; PMU measurement; data detection; error detection; historical data; normalized measurement residual testing; phasor measurement unit; state estimator; weight measurement; weight tuning algorithm; Measurement uncertainty; Phasor measurement units; Power measurement; Power systems; State estimation; Tuning; Weight measurement; Phasor measurement units (PMUs); bad data detection and identification; estimator tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4673-1221-9
  • Type

    conf

  • DOI
    10.1109/ISGT-Asia.2012.6303132
  • Filename
    6303132