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Transformer oil diagnosis based on a capacitive sensor frequency response analysis

Guerrero Granados, José Manuel and Castilla, Alejandro E. and Sánchez Fernández, José Ángel and Platero Gaona, Carlos Antonio (2021). Transformer oil diagnosis based on a capacitive sensor frequency response analysis. "IEEE Access", v. 9 ; pp. 7576-7585. ISSN 2169-3536. https://doi.org/10.1109/ACCESS.2021.3049192.

Description

Title: Transformer oil diagnosis based on a capacitive sensor frequency response analysis
Author/s:
  • Guerrero Granados, José Manuel
  • Castilla, Alejandro E.
  • Sánchez Fernández, José Ángel
  • Platero Gaona, Carlos Antonio
Item Type: Article
Título de Revista/Publicación: IEEE Access
Date: January 2021
ISSN: 2169-3536
Volume: 9
Subjects:
Freetext Keywords: Aging; capacitive sensors; degradation; moisture measurement; oil insulation; power transformers
Faculty: E.T.S.I. de Minas y Energía (UPM)
Department: Energía y Combustibles
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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 article, 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.

More information

Item ID: 65874
DC Identifier: http://oa.upm.es/65874/
OAI Identifier: oai:oa.upm.es:65874
DOI: 10.1109/ACCESS.2021.3049192
Official URL: https://ieeexplore.ieee.org/document/9314131?source=authoralert
Deposited by: Memoria Investigacion
Deposited on: 27 Jan 2021 06:05
Last Modified: 27 Jan 2021 06:05
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