Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

Research on Hot Spot Temperature Calculation and Analysis of Online Monitoring Method of Oil-immersed Power Transformer Winding

Authors
Yun Zhang
Corresponding Author
Yun Zhang
Available Online July 2016.
DOI
10.2991/iccia-17.2017.124How to use a DOI?
Keywords
Oil-immersed power transformer, Hot spot temperature, On-line monitoring, MATLAB
Abstract

Transformer hot spot temperature is the most important reason for affecting the insulation state of the winding. Hot spot position is also one of the most serious areas in transformer oil paper insulation aging. Therefore, to monitor the hot point temperature is of great significance. This paper introduces the indirect calculation model of hot spot temperature of oil-immersed power transformer and the real-time on-line monitoring system. Subsequently the simulation of transformer hot spot temperature instance is enumerated with the MATLAB environment.

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 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
10.2991/iccia-17.2017.124How 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  - Yun Zhang
PY  - 2016/07
DA  - 2016/07
TI  - Research on Hot Spot Temperature Calculation and Analysis of Online Monitoring Method of Oil-immersed Power Transformer Winding
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 719
EP  - 722
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.124
DO  - 10.2991/iccia-17.2017.124
ID  - Zhang2016/07
ER  -