Online detection method of transformer winding deformation based on combined analysis of short circuit impedance and ΔU-I1 locus characteristics

被引：0
|
作者：
Li Z. [1 ,2 ]
Jiang W. [1 ]
Yu C. [1 ]
Chen X. [1 ]
Li Z. [1 ,2 ]
Xu Y. [1 ]
机构：
[1] College of Electrical Engineering & New Energy, China Three Gorges University, Yichang
[2] Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2021年 / 41卷 / 07期
基金：
中国国家自然科学基金;
关键词：
Online detection; Power transformers; Short circuit impedance; Winding deformation; ΔU-I[!sub]1[!/sub] locus;
D O I：
10.16081/j.epae.202104028
中图分类号：
学科分类号：
摘要：
In order to solve the problem that the short circuit impedance method cannot identify fault types and that both the short circuit impedance method and the ΔU-I1 locus method are susceptible to the interference of equipment measurement errors, an online winding deformation detection method based on the combined analysis of short circuit impedance and ΔU-I1 locus characteristics is proposed. The principle of online short circuit impedance method is introduced, and a calculation method of short circuit impedance based on the short time invariance of measurement error is put forward to reduce the measurement error. The principle of ΔU-I1 locus method is introduced, then the online detection steps and criteria of transformer winding deformation based on combined analysis of short circuit impedance and ΔU-I1 locus characteristics are given. The effectiveness of the proposed method and its accuracy considering measuring errors are verified by establishing a transformer simulation model. The results show that the proposed method can accurately identify transformer winding deformation faults when considering measurement error, and has the advantages of live detection and fault type identification, which improves the identification accuracy of winding deformation fault. © 2021 Electric Power Automation Equipment Editorial Department. All right reserved.
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页码：203 / 209and217
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