Investigation on the Aging State Assessment of Transformer Insulation Paper Based on Multi-Feature Comprehensive Assessment Method

被引：0

作者：

Zhang, Liang ^{[1
]}

Sun, Wei ^{[1
,2
]}

Wei, Bing ^{[2
]}

Wang, Yudong ^{[2
]}

Cheng, Song ^{[2
]}

机构：

[1] Heilongjiang Elect Power Co Ltd, Elect Power Res Inst, State Grid, Harbin 150030, Peoples R China

[2] Harbin Univ Sci & Technol, Key Lab Engn Dielectr & Its Applicat, Minist Educ, Harbin 150080, Peoples R China

来源：

NEW ENERGY AND FUTURE ENERGY SYSTEMS, NEFES 2023 | 2023年 / 45卷

关键词：

Transformer; paper insulation; aging state estimation; linear regression; FURFURAL ANALYSIS; POWER; METHANOL;

D O I：

10.3233/ATDE231078

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The aging state of transformer insulation papers was not assessed accurately. In this paper, multi-feature comprehensive assessment method was proposed to convert the nonlinear problem into a linear problem fitting for assessing the aging state of insulation papers. The whole aging process was divided into two stages with the degree of polymerization of 500 as the dividing point. The backward multiple linear regression analysis model was established and the error of the fitting results was analyzed. Most of the relative assessment errors were within +/- 5 %. It compensated for the deficiency of aging assessment of transformer insulation paper based on single feature, and the accuracy of assessment results was improved.

引用

页码：83 / 91

页数：9

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