NDLI: An Identification Method for Transient Capacitive Current of Distribution Network by ICMAC

Content Provider	IEEE Xplore Digital Library
Author	Jianwen Zhao Yuanbin Hou
Copyright Year	2009
Abstract	Capacitive current is an important influential ingredient for extinguishing electric arc, which comes into being when single phase ground fault occurs in resonance networks. In order to seize transient capacitive current’s characters, two identification methods are presented using back propagation (BP) neural network and novel improved cerebellar model articulation controller network (ICMAC) separately. With two methods, the maximal amplitude and the minimal amplitude of transient capacitive current can be identified, occurring time of transient capacitive current amplitude can be confirmed as well as. These methods were proved by simulation with Matlab, the simulating results indicate that this novel ICMAC network makes learning identification speed faster and identification precision higher than normal BP network, through adjusting learning factor dynamically. Effective identification of transient capacitive current’s characteristics provides evidences for further cure of capacitive current.
Starting Page	315
Ending Page	318
File Size	364668
Page Count	4
File Format	PDF
ISBN	9780769537443
DOI	10.1109/IAS.2009.227
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Circuit faults Grounding Power system transients Fault diagnosis Transient analysis Electrical fault detection Resonance Mathematical model Electric resistance Steady-state identification improved cerebellar model articulation controller single-phase ground fault BP network transient capacitive current
Content Type	Text
Resource Type	Article

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