2001Unpublished venueRequires access

Evidence for SOC in Electric Power System Blackouts

B. A. Carreras, D. E. Newman, Ian Dobson, A.B. Poole

Open publisher page 3 citations

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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What this paper is about

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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Available 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.

Key concepts: Blackout, Criticality, Self-organized criticality, Abelian sandpile model, Variance (accounting), Series (stratigraphy), Computer science, Electric power system

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