Association Rules Mining Techniques Used for Relevance Analysis of 500kV EHV Power Grid Off-Limit

Hai Wei Lu; Gang Wu; Ming Chun Liu

doi:10.4028/www.scientific.net/AMM.333-335.698

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Association Rules Mining Techniques Used for Relevance Analysis of 500kV EHV Power Grid Off-Limit
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 333-335Association Rules Mining Techniques Used for...

Association Rules Mining Techniques Used for Relevance Analysis of 500kV EHV Power Grid Off-Limit

Abstract:

In the long-running process, SCADA system have accumulated a mass of the grid off-limit information, if we idle this information, will lead to so called resources deserted, at the data level, through data mining tools, we can have a correlation analysis of the off-limit information accumulated in the grid fault history library, to dig out the law, in a certain sense, the law can be the criterion for the grid Warning Decision Support.

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Periodical:

Applied Mechanics and Materials (Volumes 333-335)

Pages:

698-701

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.333-335.698

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Online since:

July 2013

Authors:

Hai Wei Lu, Gang Wu, Ming Chun Liu

Keywords:

Association Rule, Data Mining (DM), Off-Limit, Power System

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References

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