• DocumentCode
    648158
  • Title

    A novel statistical-based analysis of WECC bulk transmission reliability data

  • Author

    Papic, Marko ; Bian, J.J. ; Ekisheva, S.

  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper has presented a new statistical-based approach for analyzing the transmission outage data. The method is applied to the WECC TRD outage data collected by member utilities across Western Interconnection since 2006. The developed model takes into account the random nature of outages and fifteen factors/ variables classified as: categorical, indicator, and explanatory. The main goal of the paper is to evaluate if sufficient operational and maintenance data has been collected to obtain statistically valid results. Concepts associated with the statistical validation of performance indices are discussed with particular emphasis placed on analysis of various types of explanatory variables such as voltage class, length, conductors per phase, number of terminals, circuits per structure, insulator type, structure, terrain and elevation.
  • Keywords
    power transmission faults; power transmission reliability; statistical analysis; TRD outage data; WECC bulk transmission reliability data; Western interconnection; circuits per structure; conductors per phase; explanatory variables; insulator type; maintenance data; member utilities; operational data; performance indices; statistical-based analysis; voltage class; Conductors; Correlation; Linear regression; Power system reliability; Reliability; Wires; Analysis of Variance (ANOVA); Bulk Electric System; Correlation; Generalized Linear Models; Linear Regression; M-dependent Random Sequence; Outage Data; Outage Data Collection; Statistical Analysis; Transmission Reliability; WECC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672728
  • Filename
    6672728