• DocumentCode
    3252284
  • Title

    Self-Organized Criticality in time series of fault in Puyang power grid

  • Author

    Daifeng, Chao ; Jun, Yang ; Chan, W.L.

  • Author_Institution
    East Inner Monglia Grid Co., Shenyang, China
  • fYear
    2010
  • fDate
    14-17 June 2010
  • Firstpage
    526
  • Lastpage
    529
  • Abstract
    This paper analyses time series of fault in Puyang for evidence of Self-Organized Criticality (SOC). The Detrended Fluctuation Analysis of the time series shows prominent long-time correlations. Furthermore, the probability distribution of number of fault per day has a power law tail. Thus, the time series of fault in Puyang distribution system is consistent with SOC. Further analysis shows that the fault data exclude top days of fault following exponential distribution. Since adverse climate is the major cause of faults during the top days of fault, it is implicated that time series of fault in Puyang distribution systems derive its SOC from that of atmosphere system.
  • Keywords
    exponential distribution; power distribution faults; time series; Puyang distribution systems; detrended fluctuation analysis; fault probability distribution; power grid fault; self-organized criticality; time series; Chaos; Circuit faults; Cities and towns; Power grids; Power system faults; Power system protection; Probability distribution; Storms; Tail; Time series analysis; Fault; Power Systems; Self-Organized Criticality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5720-5
  • Type

    conf

  • DOI
    10.1109/PMAPS.2010.5528935
  • Filename
    5528935