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2013 | OriginalPaper | Chapter

22. A New Method for Fault Type Identification Based on HHT and Neural Network in Distribution Network

Authors : Zhongjian Kang, Aina Tian, Yanyan Feng

Published in: Informatics and Management Science IV

Publisher: Springer London

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Abstract

In order to identify the type of distribution network fault accurately and reliably, the article divided the fault into two types-asymmetric ground fault and others by the zero-sequence current, extracted the energy distribution at different moments and different frequency bands by the Hilbert-Huang transform, trained the two neural networks with the energy distribution characteristics and the code of the fault type and inputted the energy distribution characteristics of the tested fault into the corresponding BP network to identify the specific type of fault. A number of simulations prove that this identification method improve the accuracy of various types of fault identification in a large degree and the fault distance, fault time, the grounding resistance and the system operation mode can’t impact the identification.

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Metadata
Title
A New Method for Fault Type Identification Based on HHT and Neural Network in Distribution Network
Authors
Zhongjian Kang
Aina Tian
Yanyan Feng
Copyright Year
2013
Publisher
Springer London
Book
Informatics and Management Science IV

Print ISBN: 978-1-4471-4792-3

Electronic ISBN: 978-1-4471-4793-0

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-1-4471-4793-0_22

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