Two-Stage Residual Lifespan Prediction Model for Oil-Paper Insulation Based on Analysis of Furfural and Methanol in Oil

The applicability of existing single aging indicator-based lifespan prediction methods needs further improvement during different aging stages. Considering the aforementioned challenges, this work proposes a two-stage residual lifespan prediction model based on both methanol and furfural. Firstly, t...

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Bibliographic Details
Published in:IEEE transactions on power delivery 2023-02, Vol.38 (1), p.432-441
Main Authors: Liu, Jiefeng, Song, Boshu, Zhang, Enze, Zhang, Heng, Zhang, Yiyi, Goh, Hui Hwang
Format: Article
Language:English
Subjects:
Aging
dielectric materials
Furfural
Insulation
Kinetic equations
Life span
lifespan estimation
Methanol
Moisture
Oil insulation
Oils
paper insulation
Power transformer insulation
Prediction models
Predictive models
Transformer
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Summary:The applicability of existing single aging indicator-based lifespan prediction methods needs further improvement during different aging stages. Considering the aforementioned challenges, this work proposes a two-stage residual lifespan prediction model based on both methanol and furfural. Firstly, the changes in methanol and furfural contents in oil are examined concurrently with the aging duration. The paper insulation's life is divided into different aging stages by using identified two demarcation points according to the indicator's content. By virtue of this, the two-stage residual lifespan model of the insulating paper is obtained by coupling with the second-order aging kinetic equation. Finally, the validity of the proposed model is proved through a comparison to the conventional method of utilizing a single indicator, with a mean absolute percentage error for insulating paper's residual lifespan of 5.6%. In that regard, the research's contribution is to propose an integrated model for predicting the residual lifespan of insulating paper by using methanol and furfural indicators.
ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2022.3192487