The use of thermal and load data to identify large autotransformers that have aged and degraded electrical insulation
The use of thermal and load data to identify large autotransformers that have aged and degraded electrical insulation
This paper reports on the use of thermal and load data to identify large autotransformers that have aged and degraded electrical insulation. The top oil temperature rise and the oil time constant at rated load are used to guarantee that the transformer temperature will not exceed the thermal limits at the rated capacity. The thermal parameters from a heat run test are typically supposed to be unchanged over the lifetime of the transformer. Nevertheless, the thermal behaviors could be affected by the degradation of electrical insulation. Those parameters are recalculated by fitting operational measurements, which comprised of load profiles, winding temperature indicator (WTI) measurements and ambient temperature, to the IEC 60076-7 model. Significant increases in the thermal parameters indicate that there is a possibility that the autotransformer has aged and degraded electrical insulation.
condition monitoring, power transformer, transformer thermal model
313-316
Doolgindachbaporn, Atip
61e63bb0-1269-406c-b29a-68d890e4a0c0
Callender, George
4189d79e-34c3-422c-a601-95b156c27e76
Pilgrim, James
4b4f7933-1cd8-474f-bf69-39cefc376ab7
Lewin, Paul
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Wilson, Gordon
fd02d259-a5b6-44ce-be29-47073c552c5b
5 August 2020
Doolgindachbaporn, Atip
61e63bb0-1269-406c-b29a-68d890e4a0c0
Callender, George
4189d79e-34c3-422c-a601-95b156c27e76
Pilgrim, James
4b4f7933-1cd8-474f-bf69-39cefc376ab7
Lewin, Paul
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Wilson, Gordon
fd02d259-a5b6-44ce-be29-47073c552c5b
Doolgindachbaporn, Atip, Callender, George, Pilgrim, James, Lewin, Paul and Wilson, Gordon
(2020)
The use of thermal and load data to identify large autotransformers that have aged and degraded electrical insulation.
In 2020 IEEE Electrical Insulation Conference, EIC 2020.
IEEE.
.
(doi:10.1109/EIC47619.2020.9158731).
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper reports on the use of thermal and load data to identify large autotransformers that have aged and degraded electrical insulation. The top oil temperature rise and the oil time constant at rated load are used to guarantee that the transformer temperature will not exceed the thermal limits at the rated capacity. The thermal parameters from a heat run test are typically supposed to be unchanged over the lifetime of the transformer. Nevertheless, the thermal behaviors could be affected by the degradation of electrical insulation. Those parameters are recalculated by fitting operational measurements, which comprised of load profiles, winding temperature indicator (WTI) measurements and ambient temperature, to the IEC 60076-7 model. Significant increases in the thermal parameters indicate that there is a possibility that the autotransformer has aged and degraded electrical insulation.
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Published date: 5 August 2020
Additional Information:
Funding Information:
This work was supported by National Grid, Warwick, United Kingdom.
Publisher Copyright:
© 2020 IEEE.
Keywords:
condition monitoring, power transformer, transformer thermal model
Identifiers
Local EPrints ID: 493991
URI: http://eprints.soton.ac.uk/id/eprint/493991
PURE UUID: ac9f0076-f9b5-436f-b81b-c16e8a067169
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Date deposited: 19 Sep 2024 16:34
Last modified: 21 Sep 2024 01:41
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Contributors
Author:
Atip Doolgindachbaporn
Author:
George Callender
Author:
James Pilgrim
Author:
Paul Lewin
Author:
Gordon Wilson
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