4.7 Article

Aging state assessment of transformer cellulosic paper insulation using multivariate chemical indicators

期刊

CELLULOSE
卷 28, 期 4, 页码 2445-2460

出版社

SPRINGER
DOI: 10.1007/s10570-021-03683-3

关键词

Cellulosic paper; Aging state assessment; Multivariate chemical indicators; Comprehensive weighting evaluation; Transformers

资金

  1. National Natural Science Foundation of China [51907034]
  2. Visiting Scholarship of State Key Laboratory of Power Transmission Equipment and System Security and New Technology (Chongqing University) [2007DA105127]
  3. Natural Science Foundation of Guangxi [2018JJB160056]

向作者/读者索取更多资源

The study introduced a non-destructive method based on multivariate chemical indicators to improve the reliability and accuracy of transformer cellulose paper insulation assessment, which was validated by experiments.
Compared with a single chemical indicator, the use of multivariate chemical indicators in aging status assessment of transformer cellulose paper insulation can improve the reliability of the evaluation. In this study, a non-destructive method based on multivariate chemical indicators was proposed to evaluate the remaining life of cellulosic paper insulation. The selected chemical indicators closely related to the aging of the insulating paper were analyzed. Additionally, by applying the subjective and objective weighting method, the evaluation information of each indicator was fully extracted to obtain reasonable comprehensive evaluation weights. Besides, the comprehensive evaluation index of multivariate chemical indicators was obtained by using the technique for order preference by similarity to ideal solution method, which is consistent with the deterioration law of paper insulation. Then, the correlation lifespan model between the comprehensive evaluation index of multivariate chemical indicators and the degree of polymerization of insulating paper under different aging stages was established. The effectiveness of the proposed model was verified by experiments. This promising model can increase the accuracy of the condition assessment for the transformer cellulosic paper insulation.

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