• DocumentCode
    3312159
  • Title

    Data Mining and Analysis of Tree-Caused Faults in Power Distribution Systems

  • Author

    Xu, Le ; Chow, MoYuen ; Taylor, Leroy S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC
  • fYear
    2006
  • fDate
    Oct. 29 2006-Nov. 1 2006
  • Firstpage
    1221
  • Lastpage
    1227
  • Abstract
    The reliability and quality of power distribution systems are affected by different distribution faults. Trees are one of the major fault causes. In this paper, four different measures: actual measure, normalized measure, relative measure, and likelihood measure are used to data mine the Duke Energy Distribution Outage Database for meaningful data features and to analyze the characteristics of tree-caused distribution faults. This paper also applies statistical techniques to analyze tree-caused faults with respect to several selected influential factors. The results can be used to assist power distribution engineers to provide a more effective fault restoration system and design a more effective tree-fault prevention strategy
  • Keywords
    data analysis; data mining; database management systems; fault trees; power distribution faults; power distribution reliability; power supply quality; power system analysis computing; statistical analysis; Duke Energy Distribution Outage Database; data analysis; data mining; fault restoration system; power distribution system quality; power distribution system reliability; statistical techniques; tree-caused distribution faults; tree-fault prevention; Circuit faults; Data analysis; Data mining; Energy measurement; Hurricanes; Lightning; Power distribution; Power system reliability; Power system restoration; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference and Exposition, 2006. PSCE '06. 2006 IEEE PES
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    1-4244-0177-1
  • Electronic_ISBN
    1-4244-0178-X
  • Type

    conf

  • DOI
    10.1109/PSCE.2006.296481
  • Filename
    4075920