2026-09-22T23:52:38Zhttps://openrepository.aut.ac.nz/server/oai/requestoai:openrepository.aut.ac.nz:10292/152662026-06-29T21:02:37Zcom_10292_3col_10292_4
AUT Research Repository
advisor
Seet, Boon-Chong
advisor
Baguley, Craig
author
Bunn, Michael Trevor
2022-06-29T22:01:15Z
2022-06-29T22:01:15Z
2022
https://hdl.handle.net/10292/15266
The increasing penetration of electric vehicles and distributed generation into distribution networks gives rise to higher, more volatile and bi-directional energy flows through distribution transformers. Consequently, improved distribution transformer design and monitoring approaches are required to minimise future capital expenditure and maintenance costs over the distribution transformer’s lifetime. Traditionally the determination of the health and life of a distribution transformer has relied on modelled rather than measured data, leading to inaccurate assessment of transformer health and non-optimised transformer utilisation. There are many risks associated with overloading transformers, such as increased internal heating to potentially unsafe levels. However, even without reaching unsafe levels, the potential for increased maintenance and reduced distribution transformer lifetime are justifiable causes for concern for utilities operating around a transformer’s nameplate rating. The consequence of this approach is that often distribution transformers are used at very low utilisation levels. However, transformers operate more efficiently at utilisation levels at or above 50 %.
This research presents algorithms that support the operation of distribution transformers at higher utilisation levels considering user expectations around required lifetime, manufacturer specifications and limits imposed by the Institute of Electrical and Electronics Engineers (IEEE) and the International Electrotechnical Commission (IEC) standards. Furthermore, it describes possible integration with a close monitoring system for distribution transformers, utilising fibre Bragg Grating (FBG) sensors. Such an approach can avoid wholesale replacement of existing distribution transformers and limit resource waste over the lifetime of the transformer.
en
Smart Grid Distribution Transformers: Empirical Design and Dynamic Load Management
Thesis
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
URL
https://openrepository.aut.ac.nz/bitstreams/22633ee1-2c14-44ab-9353-ec57baedf2ee/download
File
MD5
eb6f03ad189c9b5cbf7a0cf7f796377f
14558775
application/pdf
MBunnThesis.pdf
URL
https://openrepository.aut.ac.nz/bitstreams/8afbc75c-caae-4ba7-9b45-52bb9271d8d9/download
File
MD5
39e56815a801ade0c94e0a2d1537ee0c
354675
text/plain
MBunnThesis.pdf.txt