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
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;
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
DOI :
10.1109/PMAPS.2010.5528935