Multi-physics Modelling Approach for Investigation of Moisture Dynamics in Power Transformers
Article
Article Title | Multi-physics Modelling Approach for Investigation of Moisture Dynamics in Power Transformers |
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ERA Journal ID | 4574 |
Article Category | Article |
Authors | Cui, Yi (Author), Ma, Hui (Author), Saha, Tapan (Author), Ekanayake, Chandima (Author) and Wu, Guangning (Author) |
Journal Title | IET Generation, Transmission and Distribution |
Journal Citation | 10 (8), pp. 1993-2001 |
Number of Pages | 9 |
Year | 2016 |
Place of Publication | United Kingdom |
ISSN | 1350-2360 |
1751-8687 | |
1751-8695 | |
Digital Object Identifier (DOI) | https://doi.org/10.1049/iet-gtd.2015.1459 |
Web Address (URL) | https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-gtd.2015.1459 |
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. |
Keywords | power transformers; moisture; oils; multiphysic modelling approach; moisture dynamics; power transformers; oil-cellulose system; moisture content; loading condition; ambient temperature; transformer structure; moisture distribution; electromagnetic-thermal-fluid flow-moisture migration physics |
ANZSRC Field of Research 2020 | 400803. Electrical energy generation (incl. renewables, excl. photovoltaics) |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Queensland |
Southwest Jiaotong University, China | |
Institution of Origin | University of Southern Queensland |
Funding source | Australian Research Council (ARC) Grant ID LPII0100324 |
https://research.usq.edu.au/item/q7w3y/multi-physics-modelling-approach-for-investigation-of-moisture-dynamics-in-power-transformers
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