Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)

The System of High Current Full Fiber Detection

Authors
Chengjun Guo, Ning Pei, Jixiang Lu, Jin Wang
Corresponding Author
Chengjun Guo
Available Online December 2017.
DOI
https://doi.org/10.2991/ecae-17.2018.10How to use a DOI?
Keywords
full fiber; formatting; current; sensor
Abstract

Current and voltage measurements play an important role in the power industry and provide necessary information for power systems to measure, control, and relay protection. At present in the national 110 KV, 110 KV, 330 KV, 750 KV power grid has been fully tested by optical current transformer, at the same time as the solar and wind power mature gradually, the establishment of the smart grid is imperative, also need the original optical current transformer as a test. It is expected that all optical current transformers will gradually replace the electromagnetic type transformers for smart grid and high voltage grid in the future. Therefore, the demand of market will be huge.

Copyright
© 2018, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
Series
Advances in Engineering Research
Publication Date
December 2017
ISBN
978-94-6252-458-3
ISSN
2352-5401
DOI
https://doi.org/10.2991/ecae-17.2018.10How to use a DOI?
Copyright
© 2018, 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  - Chengjun Guo
AU  - Ning Pei
AU  - Jixiang Lu
AU  - Jin Wang
PY  - 2017/12
DA  - 2017/12
TI  - The System of High Current Full Fiber Detection
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
PB  - Atlantis Press
SP  - 48
EP  - 50
SN  - 2352-5401
UR  - https://doi.org/10.2991/ecae-17.2018.10
DO  - https://doi.org/10.2991/ecae-17.2018.10
ID  - Guo2017/12
ER  -