Transformer Oil Diagnosis Based on a Capacitive Sensor Frequency Response Analysis

Condition monitoring of large power transformers is of paramount importance in power systems. One of the most common indicators of transformer aging is moisture content in oil. In this paper, a capacitive sensor able to online measuring moisture content is presented. The output of this sensor is rec...

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Bibliographic Details
Published in:IEEE access 2021-01, Vol.9, p.1-1
Main Authors: Guerrero, Jose M., Castilla, Alejandro E., Sanchez-Fernandez, Jose A., Platero, Carlos A.
Format: Article
Language:English
Subjects:
Aging
Capacitive sensors
Condition monitoring
Degradation
Frequency analysis
Frequency response
Moisture
Moisture content
Moisture measurement
Oil insulation
Oils
Power transformer insulation
Power transformers
Sensors
Temperature measurement
Transformers
Voltage measurement
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Summary:Condition monitoring of large power transformers is of paramount importance in power systems. One of the most common indicators of transformer aging is moisture content in oil. In this paper, a capacitive sensor able to online measuring moisture content is presented. The output of this sensor is recorded using a Frequency Response Analysis (FRA) device. Comparing the FRA results of a degraded oil with a reference FRA test, moisture content can be determined. A prototype sensor has been designed, built and tested. The performance of this sensor was simulated and laboratory tested with different moisture content oil samples. The results confirm that the proposed sensor can determine moisture content in oil. Therefore, it allows estimating oil degradation.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2021.3049192