Evidence for self-organized criticality in a time series of electric power system blackouts

被引:270
作者
Carreras, BA
Newman, DE
Dobson, I
Poole, AB
机构
[1] Oak Ridge Natl Lab, Oak Ridge, TN 37831 USA
[2] Univ Alaska, Dept Phys, Fairbanks, AK 99775 USA
[3] Univ Wisconsin, Dept Elect & Comp Engn, Madison, WI 53706 USA
[4] Fed Energy Reulatory Commiss, Washington, DC 20426 USA
基金
美国国家科学基金会;
关键词
blackouts; complex systems; power system security; reliability; risk analysis; time series;
D O I
10.1109/TCSI.2004.834513
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 [电气工程]; 0809 [电子科学与技术];
摘要
We analyze a 15-year time series of North American electric power transmission system blackouts for evidence of self-organized criticality (SOC). The probability distribution functions of various measures of blackout size have a power tail and rescaled range analysis of the time series shows moderate long-time correlations. Moreover, the same analysis applied to a time series from a sandpile model known to be self-organized critical gives results of the same form. Thus, the blackout data seem consistent with SOC. A qualitative explanation of the complex dynamics observed in electric power system blackouts, is suggested.
引用
收藏
页码:1733 / 1740
页数:8
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