期刊
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
卷 28, 期 6, 页码 1859-1866出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TDEI.2021.009519
关键词
transformer paper insulation; ethanol (EtOH); lifespan model; degree of polymerization; time-temperature superposition method (TTSP)
资金
- National Natural Science Foundation of China [51907034, 51867003, 61473272]
The study showed that ethanol can be used as an effective indicator to monitor the aging behavior of insulating paper, with a strong correlation between ethanol content and temperature, moisture, and aging degree. By establishing a lifespan model based on the relationship between ethanol and the degree of polymerization, the performance of oil-paper systems can be assessed under laboratory conditions.
A growing body of evidence suggests that the ethanol dissolved in the oil can be used as an indicator to effectively monitor the aging behavior of insulating paper. In this study, thermal aging experiments are performed on oil-paper systems with different initial moisture contents and aging temperatures, and then a gas chromatography-mass spectrometer equipped with an automatic headspace sampler is used to test the ethanol contents of the oil samples. The variations and correlations of ethanol contents with temperature, moisture and aging degree are analyzed. The experimental results show that the ethanol contents in oil had a strong correlation with temperature, and is also affected by the cellulose hydrolysis. In addition, a preliminary lifespan assessment of the oil-paper systems under laboratory conditions is conducted by establishing the relationship between ethanol and the degree of polymerization. Then, the time-temperature superposition method is applied to the relationship, and a lifespan model with any temperature is determined according to the ethanol kinetic equation. Based on the model, further observation of the fitting parameters in the case of the two moisture contents (0.8%, 2.3%), the goodness of fit reached higher values of 0.961 and 0.973, respectively. The results of this promising model can help us to a better understanding of ethanol indicator to condition assessment for the transformer paper insulation.
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