A novel furfural-detection-method for the aging prediction of paper insulation in power transformer

2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) Pub Date : 2018-10-01 DOI:10.1109/CEIDP.2018.8651071

Lei Peng, Qiang Fu, Musong Lin, Yaohong Zhao, Yihua Qian, Shengli Li

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引用次数: 2

Abstract

Paper insulation is an important kind of solid dielectric in power transformers which influences the safety and stable operation of the transformers. Furfural, as an important indicator in transformer oil, can evaluate the degradation degree of paper insulation and predict the remaining life of transformers. However, it is always inconvenient to detect furfural because of the extraction procedure. In this work, a novel no-extraction furfural-detection-method based on UV-Vis spectrometry was proposed to evaluate the aging of paper insulation by the degree of polymerization (DP). The results show that this furfuraldetection- method has a favorable linear relationship between the concentrations of furfural (Ck) and its characteristic absorbance. The coefficient of deviation is less than 6.9% (n=7) for the furfural detection, indicating the satisfactory accuracy of results. The correlation between DP of papers and Ck are simulated with the goodness of fit (R2=0.964). Then, the aging of paper insulation could be predicted by the calculation of DP.

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电力变压器纸绝缘老化预测的糠醛检测新方法

纸绝缘是电力变压器中一种重要的固体介质，直接影响变压器的安全稳定运行。糠醛作为变压器油中的重要指标，可以评价纸绝缘的降解程度，预测变压器的剩余寿命。然而，糠醛的提取过程给检测带来不便。本文提出了一种新的基于UV-Vis光谱法的无提取糠醛检测方法，通过聚合度(DP)来评估纸张绝缘的老化。结果表明，该方法的糠醛(Ck)浓度与其特征吸光度之间具有良好的线性关系。糠醛检测的偏差系数小于6.9% (n=7)，结果精度令人满意。采用拟合优度(R2=0.964)模拟论文DP与Ck的相关性。然后，通过DP的计算，可以预测纸张绝缘的老化情况。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)

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