Analysis of transformer oil paper insulation aging using improved Davidson-Cole dielectric model

被引：0
|
作者：
Zhang T. [1 ]
Li L. [1 ]
Ran H. [2 ]
Xiao X. [1 ]
Zhong T. [1 ]
机构：
[1] College of Electrical Engineering and New Energy, China Three Gorges University, Yichang
[2] Hubei Provincial Collaborative Innovation Center for New Energy Microgrid, China Three Gorges University, Yichang
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2019年 / 39卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Frequency-domain dielectric spectroscopy; Furfural content; Improved Davidson-Cole model; Oil-paper insulation; Power transformers; Water content;
D O I：
10.16081/j.issn.1006-6047.2019.01.028
中图分类号：
学科分类号：
摘要：
In order to accurately analyze the state of transformer oil paper insulation using FDS(Frequency-domain Dielectric Spectroscopy), an improved Davidson-Cole dielectric model considering DC conductivity and hopping conductivity is proposed. The Davidson-Cole dielectric model is improved by parameterizing the measured FDS data and then transformed into a nonlinear optimization problem. The mixed frog leaping optimization algorithm is adopted to identify the parameters of the improved Davidson-Cole dielectric model, by which, the characteristic parameters such as relaxation time τ, asymmetry of circular arc β and DC conductivity σdc are obtained. The influences of aging and moisture on the parameters of modified Davidson-Cole dielectric model for oil paper insulation samples are researched. The research results show that β has good exponential relationship with furfural content, σdc has good exponential relationship with moisture content, and τ has good logarithmic relationship with furfural content and moisture content. Quantitative functions of relationship between furfural content, moisture content and model parameters are obtained by linear fitting. These quantitative functions have high goodness of fit, so the improved Davidson-Cole dielectric model can be used to quantitatively evaluate the state of transformer oil paper insulation. © 2019, Electric Power Automation Equipment Press. All right reserved.
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页码：192 / 197and204
相关论文
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