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13 May 2024 Comparison of accuracy of online monitoring equipment for dissolved gas in transformer oil
Zi'en Liu, Yue Zhao, Yanjun Liu, Zhenghao Li, Jun Cao, Guoping Sheng
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Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131592A (2024) https://doi.org/10.1117/12.3024539
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
The accurate measurement of dissolved gas concentration in transformer oil is directly related to the safe operation state of transformer. In order to realize real-time and automatic monitoring of dissolved gas in transformer oil, online monitoring method has been developed and applied, but the accuracy of online monitoring method remains to be investigated. Therefore, this paper evaluates the accuracy of two online monitoring methods, i.e., gas chromatography and photoacoustic spectroscopy, that have been used in the market. The results show that the test results of two online monitoring methods can meet the requirements of Class A standard. Among them, the online monitoring method using gas chromatography has less error and higher accuracy, but its operation is relatively complicated and requires carrier gas. The online monitoring method using photoacoustic spectroscopy does not need carrier gas and the test speed is fast, but its test error is relatively large, and the accuracy is relatively low, indicating further research is still needed to improve the test accuracy.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Zi'en Liu, Yue Zhao, Yanjun Liu, Zhenghao Li, Jun Cao, and Guoping Sheng "Comparison of accuracy of online monitoring equipment for dissolved gas in transformer oil", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131592A (13 May 2024); https://doi.org/10.1117/12.3024539
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KEYWORDS
Transformers
Photoacoustic spectroscopy
Chromatography
Error analysis
Sensors
Hydrogen
Carbon monoxide
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