Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)

Fault Analysis and Automation Technology of 10kv Distribution Line

Authors
Jing Hua, Yanping Zhou, Wei Xiong, Linlin Cao
Corresponding Author
Jing Hua
Available Online March 2017.
DOI
10.2991/emcs-17.2017.393How to use a DOI?
Keywords
Distribution network; 10kv; Fault; Auto mation; Realization way
Abstract

In order to improve the distribution of network fault finding, isolation and restoration line, Firstly, the paper analyzes the current situation of 10kV distribution lines and the types and characteristics of the fault, The local intelligent processing principle to solve the complex problem of fault isolation and route discovery, In this paper, the realization of distribution network automation technology is analyzed, the principle and characteristics of the system are expounded, and different implementations of different distribution network and fault conditions should be adopted.

Copyright
© 2017, 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 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
Series
Advances in Computer Science Research
Publication Date
March 2017
ISBN
10.2991/emcs-17.2017.393
ISSN
2352-538X
DOI
10.2991/emcs-17.2017.393How to use a DOI?
Copyright
© 2017, 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  - Jing Hua
AU  - Yanping Zhou
AU  - Wei Xiong
AU  - Linlin Cao
PY  - 2017/03
DA  - 2017/03
TI  - Fault Analysis and Automation Technology of 10kv Distribution Line
BT  - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
PB  - Atlantis Press
SP  - 2098
EP  - 2101
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-17.2017.393
DO  - 10.2991/emcs-17.2017.393
ID  - Hua2017/03
ER  -