A Cluster Distribution As A Model For Estimating High-Order-Event Probabilities In Power Systems
Probability in the Engineering and Informational Sciences
Blackouts in electric power transmission systems
AEE'06 Proceedings of the 5th WSEAS international conference on Applications of electrical engineering
BrownMap: enforcing power budget in shared data centers
Proceedings of the ACM/IFIP/USENIX 11th International Conference on Middleware
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We examine correlations in a time series of electric power system blackout sizes using scaled window variance analysis and R/S statistics. The data shows some evidence of long time correlations and has Hurst exponent near 0.7. Large blackouts tend to correlate with further large blackouts after a long time interval. Similar effects are also observed in many other complex systems exhibiting self-organized criticality. We discuss this initial evidence and possible explanations for self-organized criticality in power systems blackouts. Self-organized criticality, if fully confirmed in power systems, would suggest new approaches to understanding and possibly controlling blackouts.