NDLI: Investigation on digital algorithm for on-line monitoring and diagnostics of metal oxide surge arrester based on an accurate model

Content Provider	IEEE Xplore Digital Library
Author	Tong Zhao Qingmin Li Jiali Qian
Copyright Year	1986
Abstract	The digital algorithms presently available for on-line monitoring of metal oxide surge arrester (MOA) are normally based on a simplified equivalent model consisting of a capacitor and a nonlinear resistor in parallel, which however in applications poses some deficiency compared with experimental results, leading to a certain phase discrepancy between the line voltage and the resistive branch current, due to a capacitive effect in the branch. This paper develops a new digital algorithm based on an accurate model of metal oxide surge arrester, in which base-frequency approximating method and iterating scheme are combined in use. Computer simulations are carried out to validate the new approach, showing the digital algorithm gives an application accuracy of less than 1% even with harmonised power source and different levels of background noises while within 10% of the measured sum leakage current.
Sponsorship	IEEE Power Engineering Society
Starting Page	751
Ending Page	756
Page Count	6
File Size	243917
File Format	PDF
ISSN	08858977
Volume Number	20
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Monitoring Surges Arresters Capacitors Resistors Lead compounds Voltage Computer simulation Application software Background noise on-line monitoring Digital algorithm equivalent model metal oxide surge arresters (MOA)
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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