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 language | English |
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Title of host publication | 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010 |
Pages | 526-529 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 15 Sept 2010 |
Event | 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010 - Singapore, Singapore Duration: 14 Jun 2010 → 17 Jun 2010 |
Conference
Conference | 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010 |
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Country/Territory | Singapore |
City | Singapore |
Period | 14/06/10 → 17/06/10 |
Keywords
- Fault
- Power systems
- Self-organized criticality
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Fuel Technology