NDLI: A smart on-line over-voltage layered identification system

Content Provider	IEEE Xplore Digital Library
Author	Du Lin Chen Huan Liu Jun
Copyright Year	2012
Description	Author affiliation: Chongqing Power Company, Chongqing, China (Chen Huan) \|\| State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing, China (Du Lin)
Abstract	This paper proposes an effective smart on-line over-voltage identification system based on a new layered recognition structure. The over-voltage is a main and great threat for the safety and stability of electric system. It's very helpful to analyze and identify over-voltage for improving power system insulation coordination. Through analysis of filed over-voltage data recorded by over-voltage on-line monitoring system, an over-voltage layered identification structure is presented for eleven kinds of common over-voltage. The wavelet transform and singular value decomposition theory are used to extract features of over-voltage. In consideration of the requirements of over-voltage recognition, the least square support vector machine is employed as the classifier to build a layered identification model, and the grid search algorithm is adopted to optimize the parameters of support vector machine to improve classification rate. The filed data testing results show that this system is feasible and promising for engineering application.
Starting Page	874
Ending Page	877
File Size	352503
Page Count	4
File Format	PDF
ISBN	9781467310192
e-ISBN	9781467310208
DOI	10.1109/CMD.2012.6416290
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-23
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	pattern identification Lightning Feature extraction Time frequency analysis Discrete wavelet transforms least square support vector machine Matrix decomposition singular value decomposition over-voltage
Content Type	Text
Resource Type	Article

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