Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)

Intelligent On-line Monitoring Technology for Capacitance and Dielectric Loss of Electrical Equipment

Authors
Junfeng Gui
Corresponding Author
Junfeng Gui
Available Online October 2018.
DOI
10.2991/icmcs-18.2018.106How to use a DOI?
Keywords
Capacitance; dielectric loss; on-line monitoring; FFT
Abstract

In order to ensure the safe operation of capacitive equipment in substations, the on-line monitoring technology of capacitance and dielectric loss is implemented. In this paper, the phase comparison method and FFT analysis are used to obtain the insulation parameters such as capacitance and dielectric. Data are uploaded to the station terminal integrated processing unit through the field bus, and the remote diagnosis center is uploaded through the IEC61850 mode for data presentation and analysis diagnosis. The insulation defects of electrical equipment are diagnosed at the scene, and major accidents are avoided in time.

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/).

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Volume Title
Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)
Series
Advances in Computer Science Research
Publication Date
October 2018
ISBN
10.2991/icmcs-18.2018.106
ISSN
2352-538X
DOI
10.2991/icmcs-18.2018.106How 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  - Junfeng Gui
PY  - 2018/10
DA  - 2018/10
TI  - Intelligent On-line Monitoring Technology for Capacitance and Dielectric Loss of Electrical Equipment
BT  - Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)
PB  - Atlantis Press
SP  - 516
EP  - 519
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmcs-18.2018.106
DO  - 10.2991/icmcs-18.2018.106
ID  - Gui2018/10
ER  -