NDLI: Analysis on the Self-Organized Critical State with Power Flow Entropy in Power Grids

Content Provider	IEEE Xplore Digital Library
Author	Lijie Ding Zhejing Bao
Copyright Year	2009
Abstract	The existence of the self-organized criticality has significant consequences for power system operation. Different from the previous cascading failures models in power system, a novel conception, entropy of power flow which can represent the distribution of power flow, is introduced to study the effect of heterogeneity to critical state. Simulation results show that the load loss for cascading failure increases as the power flow entropy adds and increase sharply when the entropy be large enough even with the system at very low loading level. It is affirmed that the power tails and the consequent risk of large blackouts could be substantially reduced by lowering power flow entropy to obtain an exponential tail for large blackouts.
Starting Page	18
Ending Page	21
File Size	800415
Page Count	4
File Format	PDF
ISBN	9780769538044
DOI	10.1109/ICICTA.2009.472
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	System testing Blackouts Entropy Power grids Power system modeling Power system faults Load flow self-organized criticality Cascading failures entropy Automatic testing Hidden failure model Power system protection Power system simulation Power system analysis computing
Content Type	Text
Resource Type	Article

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