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Towards Online Ageing Detection in Transformer Oil: A Review

Elele Ugochukwu, Nekahi Azam, Arshad Arshad et Fofana Issouf. (2022). Towards Online Ageing Detection in Transformer Oil: A Review. Sensors, 22, (20), e7923.

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URL officielle: https://doi.org/10.3390/s22207923

Résumé

Transformers play an essential role in power networks, ensuring that generated power gets to consumers at the safest voltage level. However, they are prone to insulation failure from ageing, which has fatal and economic consequences if left undetected or unattended. Traditional detection methods are based on scheduled maintenance practices that often involve taking samples from in situ transformers and analysing them in laboratories using several techniques. This conventional method exposes the engineer performing the test to hazards, requires specialised training, and does not guarantee reliable results because samples can be contaminated during collection and transportation. This paper reviews the transformer oil types and some traditional ageing detection methods, including breakdown voltage (BDV), spectroscopy, dissolved gas analysis, total acid number, interfacial tension, and corresponding regulating standards. In addition, a review of sensors, technologies to improve the reliability of online ageing detection, and related online transformer ageing systems is covered in this work. A non-destructive online ageing detection method for in situ transformer oil is a better alternative to the traditional offline detection method. Moreover, when combined with the Internet of Things (IoT) and artificial intelligence, a prescriptive maintenance solution emerges, offering more advantages and robustness than offline preventive maintenance approaches.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:1424-8220
Volume:22
Numéro:20
Pages:e7923
Version évaluée par les pairs:Oui
Date:2022
Identifiant unique:10.3390/s22207923
Sujets:Sciences naturelles et génie > Génie
Sciences naturelles et génie > Génie > Génie électrique et génie électronique
Sciences naturelles et génie > Sciences appliquées
Département, module, service et unité de recherche:Départements et modules > Département des sciences appliquées > Module d'ingénierie
Unités de recherche > Centre international de recherche sur le givrage atmosphérique et l’ingénierie des réseaux électriques (CENGIVRE) > Vieillissement de l’appareillage installé sur les lignes à haute tension (ViAHT)
Mots-clés:ageing, high voltage, insulator, Internet of Things, sensor, superhydrophobicity, transformer oil, vieillissement, haute tension, isolant, Internet des objets, capteur, superhydrophobicité, huile de transformateur
Déposé le:20 déc. 2022 17:20
Dernière modification:20 déc. 2022 17:20
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Creative Commons LicenseSauf indication contraire, les documents archivés dans Constellation sont rendus disponibles selon les termes de la licence Creative Commons "Paternité, pas d'utilisation commerciale, pas de modification" 2.5 Canada.

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