Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering

Non-invasive Technology Research on Identifying and Locating Short-circuit Fault for Power Supply Network

Authors
Xianxu Huo, Yongbiao Yang, Jiancheng Yu, Tianchun Xiang, Jie Song, Jinming Wang
Corresponding Author
Xianxu Huo
Available Online November 2015.
DOI
10.2991/ism3e-15.2015.50How to use a DOI?
Abstract

Non-invasive fault monitoring and locating system due to the low installation and maintenance cost and non-invasive the use house has become an important development direction of load short-circuit fault identification and positioning. The paper constructs the overall architecture of non-invasive electricity safety monitoring systems and the test platform of the short circuit-faults, analyse short-circuit current feature, and proposes a non-invasive short-circuit fault identification and location algorithm based on short-circuit mutational current and direct component in the power supply network. This algorithm solves the key technical problems of short-circuit current criterion when breaker operates under the non-invasive fault monitoring architecture, and effectively identifies and locates the rough region of short-circuit fault for the power supply network. If the low voltage feeder circuit smart meter can transmit the fault massage to the main station, the algorithm can locate the fault precisely.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering
Series
Advances in Engineering Research
Publication Date
November 2015
ISBN
978-94-6252-141-4
ISSN
2352-5401
DOI
10.2991/ism3e-15.2015.50How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xianxu Huo
AU  - Yongbiao Yang
AU  - Jiancheng Yu
AU  - Tianchun Xiang
AU  - Jie Song
AU  - Jinming Wang
PY  - 2015/11
DA  - 2015/11
TI  - Non-invasive Technology Research on Identifying and Locating Short-circuit Fault for Power Supply Network
BT  - Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering
PB  - Atlantis Press
SP  - 203
EP  - 206
SN  - 2352-5401
UR  - https://doi.org/10.2991/ism3e-15.2015.50
DO  - 10.2991/ism3e-15.2015.50
ID  - Huo2015/11
ER  -