Assessment of Degradation of Oil-Paper Insulation Caused by Thermal Aging in the Presence of Acids

Haque, Nasirul; Medya, Raju

doi:10.1109/tdei.2023.3321556

Cited by 1 publication

(1 citation statement)

References 32 publications

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“…Additionally, oxidation and hydrolysis also contribute to the faster breaking of the cellulose molecules in the insulation paper. During the operation of transformers under load, the three types of degradation reactions of insulation paper, namely thermal degradation [14,15], hydrolytic degradation [16], and oxidative degradation [17], will occur simultaneously due to the combined action of various aging factors. Among them, thermal degradation plays a major role [18].…”

Section: Introductionmentioning

confidence: 99%

Research on infrared spectroscopy detection of furfural content in transformer oil based on acetonitrile extraction

Tian,

Li,

Wang

et al. 2024

Meas. Sci. Technol.

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The stable operation of power transformers depends on the oil-paper insulation system, in which the aging degree of insulating paper is the key to evaluate the remaining life of the transformer. Currently, methanol extraction is widely used to detect the furfural content in oil to evaluate the aging state of insulating paper, but it ignores the influence of methanol produced during the operation of the transformer on the extraction results. To address this issue, this paper proposes a new method that can replace methanol extraction for detecting furfural in oil through simulation and experiment. Firstly, through simulation and experiment, it is proved that the strong vibration absorption peaks at 1677 cm-1 for furfural carbonyl and 2240 cm-1 for acetonitrile cyano can be used to establish a new method for extracting furfural content in oil using acetonitrile. A quantitative model between the concentration x of furfural in the furfural-acetonitrile mixed solution and the area y of the infrared absorption peak at 1677 cm-1 is established, with a goodness of fit of 0.9974. Secondly, a comparison between direct detection and acetonitrile extraction methods is conducted. The results show that direct detection is simple to operate, but the minimum detection concentration is 40mg/L, which is difficult to meet practical requirements. Acetonitrile extraction can reduce the minimum detection concentration to 0.1mg/L. At the same time, the extraction conditions are analyzed to determine the extraction ratio of 30, extraction times of 5, and extraction rate of 60%. Finally, the proposed detection method is applied to thermal aging tests on insulating paper of different types. The experimental results show that the proposed method has good repeatability and improves the detection resolution of furfural content. This paper combines infrared spectroscopy with acetonitrile extraction technology to open up a more efficient and practical new method for detecting furfural content in transformer oil.

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