Multi-physics modelling approach for investigation of moisture dynamics in power transformers

Cui, Yi, Ma, Hui, Saha, Tapan, Ekanayake, Chandima and Wu, Guangning (2016) Multi-physics modelling approach for investigation of moisture dynamics in power transformers. IET Generation Transmission and Distribution, 10 8: 1993-2001. doi:10.1049/iet-gtd.2015.1459


Author Cui, Yi
Ma, Hui
Saha, Tapan
Ekanayake, Chandima
Wu, Guangning
Title Multi-physics modelling approach for investigation of moisture dynamics in power transformers
Journal name IET Generation Transmission and Distribution   Check publisher's open access policy
ISSN 1751-8687
1751-8695
Publication date 2016-05-19
Sub-type Article (original research)
DOI 10.1049/iet-gtd.2015.1459
Open Access Status Not Open Access
Volume 10
Issue 8
Start page 1993
End page 2001
Total pages 9
Place of publication Stevenage, Herts, United Kingdom
Publisher The Institution of Engineering and Technology
Collection year 2017
Language eng
Abstract The presence of moisture in a power transformer is harmful to its oil–cellulose system and can also accelerate the ageing. Therefore, it is necessary to estimate the moisture content inside the transformer. Due to the variation of loading conditions and ambient temperatures, moisture is neither in a static state nor uniformly distributed in transformers. Moisture migrates between oil and cellulose and moves inside oil and cellulose of transformers. Moreover, given the complexity of a transformer's structure, moisture distribution is also a function of mass and dimensions of transformer's oil–cellulose system. This study adopts a multi-physics modelling approach to investigate moisture dynamics in transformers. In this approach, moisture dynamics is investigated by coupling electromagnetic, thermal, fluid flow and moisture migration physics simultaneously. An accurate estimation on moisture distribution in transformers can then be obtained. Extensive ageing and moisture diffusion experiments have been conducted on a prototype transformer to verify the proposed approach.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Information Technology and Electrical Engineering Publications
 
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Created: Fri, 13 May 2016, 23:36:05 EST by Dr Hui Ma on behalf of School of Information Technol and Elec Engineering