Evidence for SOC in Electric Power System Blackouts
B. A. Carreras, D. E. Newman, Ian Dobson, A.B. Poole
Abstract
B. A. Carreras, D. E. Newman, Ian Dobson, A.B. Poole
Abstract
We analyze a 15-year time series of North American electric power system blackouts for evidence of self-organized criticality. Scaled window variance and R/S analysis of the time series shows moderate long time correlations. The probability distribution functions of various measures of blackout size have a power tail. 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 is consistent with self-organized criticality. Self-organized criticality, if fully confirmed in power systems, would suggest new complex systems approaches to understanding and possibly controlling blackouts.
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We analyze a 15-year time series of North American electric power system blackouts for evidence of self-organized criticality. Scaled window variance and R/S analysis of the time series shows moderate long time correlations. The probability distribution functions of various measures of blackout size have a power tail. 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 is consistent with self-organized criticality. Self-organized criticality, if fully confirmed in power systems, would suggest new complex systems approaches to understanding and possibly controlling blackouts.
Key concepts: Blackout, Criticality, Self-organized criticality, Abelian sandpile model, Variance (accounting), Series (stratigraphy), Computer science, Electric power system