DocumentCode :
1101387
Title :
Evidence for self-organized criticality in a time series of electric power system blackouts
Author :
Carreras, Benjamin A. ; Newman, David E. ; Dobson, Ian ; Poole, A. Bruce
Author_Institution :
Oak Ridge Nat. Lab., TN, USA
Volume :
51
Issue :
9
fYear :
2004
Firstpage :
1733
Lastpage :
1740
Abstract :
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.
Keywords :
power system security; power transmission faults; power transmission reliability; probability; risk analysis; sandpile models; self-organised criticality; time series; North American electric power transmission system blackouts; blackout size; complex systems; electric power system blackouts; long-time correlations; power system security; power tail; probability distribution functions; reliability; rescaled range analysis; risk analysis; sandpile model; self-organized critical gives; self-organized criticality; time series; Contracts; Laboratories; Power measurement; Power system analysis computing; Power system dynamics; Power system modeling; Power system reliability; Power transmission; Probability distribution; Time series analysis; Blackouts; complex systems; power system security; reliability; risk analysis; time series;
fLanguage :
English
Journal_Title :
Circuits and Systems I: Regular Papers, IEEE Transactions on
Publisher :
ieee
ISSN :
1549-8328
Type :
jour
DOI :
10.1109/TCSI.2004.834513
Filename :
1333223
Link To Document :
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