| Abstract: |
| An enhanced cascading failure model integrating data mining technique is proposed in this paper. In order to
better simulate the process of cascading failure propagation and further analyze the relationship between failure
chains, in view of a basic framework of cascading failure described in this paper, some significant improvements in
emerging prevention and control measures, the subsequent failure search strategy as well as the statistical analysis
for the failure chains are made elaborately. Especially, a sequential pattern mining model is employed to find out
the association pertinent to the obtained failure chains. In addition, a cluster analysis model is applied to evaluate
the relationship between the intermediate data and the consequence of obtained failure chain, which can provide
the prediction in potential propagation path of cascading failure to reduce the risk of catastrophic events. Finally,
the case studies are conducted on the IEEE 10-machine-39-bus test system as benchmark to demonstrate the
validity and effectiveness of the proposed enhanced cascading failure model. Some preliminary concluding remarks
and comments are drawn. |
| Key words: Cascading failure, Emerging prevention and control measures, Subsequent search strategy, Sequentialpattern mining, Cluster analysis |
| DOI：10.1186/s41601-017-0035-3 |
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| Fund: |
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