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Detection of forced cooling faults in power transformers based on winding temperature indicator and load data

Detection of forced cooling faults in power transformers based on winding temperature indicator and load data
Detection of forced cooling faults in power transformers based on winding temperature indicator and load data
In this paper, time series decomposition and thermal models are used to identify WTI issues; specifically an absence of sensor load dependency and detecting when the WTI is tracking top oil. Following this, two different transformer thermal models are used to calculate WTI temperatures which are then compared to WTI measurements under forced-cooling conditions to identify cooling issues, especially a reduction in cooling performance. A discussion of the differences between two different transformer thermal models, IEC 60076-7 and one purposed by Susa, is provided.
Fault Diagnosis, Time series, cooling, power transformers insulation, transformer oil, transformer windings
111-114
IEEE
Doolgindachbaporn, Atip
61e63bb0-1269-406c-b29a-68d890e4a0c0
Nik Ali, Nik Hakimi Bin
91f9aa04-0cd9-4d62-896f-97584753886d
Callender, George
4189d79e-34c3-422c-a601-95b156c27e76
Pilgrim, James
3e6427ad-d495-4be6-b224-2275791f2fbc
Lewin, Paul
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Wilson, Gordon
fd02d259-a5b6-44ce-be29-47073c552c5b
Doolgindachbaporn, Atip
61e63bb0-1269-406c-b29a-68d890e4a0c0
Nik Ali, Nik Hakimi Bin
91f9aa04-0cd9-4d62-896f-97584753886d
Callender, George
4189d79e-34c3-422c-a601-95b156c27e76
Pilgrim, James
3e6427ad-d495-4be6-b224-2275791f2fbc
Lewin, Paul
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Wilson, Gordon
fd02d259-a5b6-44ce-be29-47073c552c5b

Doolgindachbaporn, Atip, Nik Ali, Nik Hakimi Bin, Callender, George, Pilgrim, James, Lewin, Paul and Wilson, Gordon (2020) Detection of forced cooling faults in power transformers based on winding temperature indicator and load data. In 2019 IEEE Electrical Insulation Conference (EIC). IEEE. pp. 111-114 . (doi:10.1109/EIC43217.2019.9046583).

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper, time series decomposition and thermal models are used to identify WTI issues; specifically an absence of sensor load dependency and detecting when the WTI is tracking top oil. Following this, two different transformer thermal models are used to calculate WTI temperatures which are then compared to WTI measurements under forced-cooling conditions to identify cooling issues, especially a reduction in cooling performance. A discussion of the differences between two different transformer thermal models, IEC 60076-7 and one purposed by Susa, is provided.

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More information

Published date: 26 March 2020
Keywords: Fault Diagnosis, Time series, cooling, power transformers insulation, transformer oil, transformer windings

Identifiers

Local EPrints ID: 451398
URI: http://eprints.soton.ac.uk/id/eprint/451398
PURE UUID: 1ffd62a2-9fd2-46bc-9419-4f57adb85363
ORCID for Paul Lewin: ORCID iD orcid.org/0000-0002-3299-2556

Catalogue record

Date deposited: 23 Sep 2021 16:40
Last modified: 03 Dec 2021 02:35

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Contributors

Author: Atip Doolgindachbaporn
Author: Nik Hakimi Bin Nik Ali
Author: George Callender
Author: James Pilgrim
Author: Paul Lewin ORCID iD
Author: Gordon Wilson

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