• DocumentCode
    1735824
  • Title

    Statistical Analysis of Abnormal Electric Power Grid Behavior

  • Author

    Ferryman, Thomas A. ; Amidan, Brett G.

  • Author_Institution
    Pacific Northwest Nat. Lab., Richland, WA, USA
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Pacific Northwest National Laboratory is developing a technique to analyze Phasor Measurement Unit data to identify typical patterns, atypical events, and precursors to a blackout or other undesirable event. The technique combines data-driven multivariate analyses and engineering-modeling. The method identifies atypical events, provides a plain English description of the event, and gives the capability to use drill-down graphics for detailed investigations. The tool can be applied to the entire grid, individual organizations (e.g., TVA, BPA), or specific substations (e.g., TVA_CUMB). The tool is envisioned for (1) event investigations, (2) overnight processing to generate a Morning Report that characterizes activity that has occurred during the previous 10-30 days, and (3) potentially near-real-time operation to support the grid operators. This paper presents the current status of the tool and illustrations of its application to real world PMU data collected in three 10-day periods in 2007.
  • Keywords
    power grids; substations; Pacific Northwest National Laboratory; abnormal electric power grid behavior; data-driven multivariate analyses; phasor measurement; statistical analysis; substations; time 10 day to 30 day; Data analysis; Data engineering; Graphics; Laboratories; Pattern analysis; Phasor measurement units; Power engineering and energy; Power systems; Statistical analysis; Substations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2010 43rd Hawaii International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1530-1605
  • Print_ISBN
    978-1-4244-5509-6
  • Electronic_ISBN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2010.349
  • Filename
    5428365