NDLI: A New Algorithm Combining Discernibility Matrix and Information Entropy for Power Grid Failure Detection

Content Provider	IEEE Xplore Digital Library
Author	Fan Jin Niu Litao He Xinlin Wu Pengyue Peng Jinning
Copyright Year	2013
Description	Author affiliation: Xi'an Univ. of Post & Commun., Xi'an, China (Fan Jin) \|\| Xi'an Thermal Power Res. Inst., Xi'an, China (Niu Litao; He Xinlin; Wu Pengyue; Peng Jinning)
Abstract	With the enlargement of power grid scale, more and more high power devices connect to the network, frequent start of these high power equipment always cause voltage surge in the power grid, Voltage surge affect the normal operation of power grids, So, The accurate detection of voltage surge has important significance. The traditional fault detection methods for voltage surge focus on periodic fault component , the action time of voltage surge is short , voltage surge contains very much non-periodic component , therefore ,the traditional fault detection methods for voltage surge are not efficient .In order to improve the voltage surge detection efficiency, a new algorithm combining discernibility matrix and information entropy for the power grid failure detection is proposed. The algorithm through the fault information discernibility matrix and fault information entropy, and the combination of utilization of the resolution of the faulty matrix the discriminatory power to fault attributes in the discernibility matrix of the frequency as the basis of fault detection. Experimental results show that this algorithm can more quickly and accurately completed grid surge intelligent fault detection.
Starting Page	23
Ending Page	27
File Size	811352
Page Count	5
File Format	PDF
e-ISBN	9781479927920
DOI	10.1109/ISDEA.2013.412
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Fault detection Highway Engineering Cement Stabilized Crushed Stone Power grids Vectors Strong Interlocked Skeleton Dense Graded Aggregate Circuit faults Surges Monitoring Segregation Control
Content Type	Text
Resource Type	Article

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