Research and experiment on standard oil treatment device for chromatographic analysis based on transformer status detection

Yanping Li; Jianjun Fang; Xinyi Cui; Yingjie Xu

doi:10.1117/12.3024566

13 May 2024 Research and experiment on standard oil treatment device for chromatographic analysis based on transformer status detection

Yanping Li, Jianjun Fang, Xinyi Cui, Yingjie Xu

Author Affiliations +

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131593U (2024) https://doi.org/10.1117/12.3024566
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

The analysis of the dissolved gases present in the transformer oil is a crucial aspect in understanding the transformer's operational status and identifying potential issues within the transformer. The analysis of dissolved gas in transformer oil is a crucial ability for transformer operators. This article presents a standard device for recycling transformer oil. It can extensively purify the used transformer oil and transform it into standard transformer oil, with a recycling rate exceeding 95%. When used to treat reclaimed transformer oil, the device's degassing efficiency for the recovered oil is higher than 90%. Additionally, the difference between the configured transformer standard oil and the preset value is less than 10%, and the component loss rate after 168 hours of storage is less than 5%. In practical training, the per capita fuel consumption was reduced to 0. 2L, and the training cost was cut by 82%. Furthermore, by reducing the purchase, storage, and transportation of transformer oil, he safety of the training process has been significantly improved.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yanping Li, Jianjun Fang, Xinyi Cui, and Yingjie Xu "Research and experiment on standard oil treatment device for chromatographic analysis based on transformer status detection", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131593U (13 May 2024); https://doi.org/10.1117/12.3024566

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