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

Chao Daifeng, Yang Jun, Wai Lok Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

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.
Original languageEnglish
Title of host publication2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010
Pages526-529
Number of pages4
DOIs
Publication statusPublished - 15 Sep 2010
Event2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010 - Singapore, Singapore
Duration: 14 Jun 201017 Jun 2010

Conference

Conference2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010
CountrySingapore
CitySingapore
Period14/06/1017/06/10

Keywords

  • Fault
  • Power systems
  • Self-organized criticality

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

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