Online monitoring and diagnosis method of transformer winding deformation

被引：5
|
作者：
Wu, Hao [1 ]
Wang, Xue [1 ]
Zhang, Jiajia [1 ]
机构：
[1] North China Elect Power Univ, Sch Elect & Elect Engn, Baoding, Hebei, Peoples R China
来源：
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING | 2019年 / 14卷 / 12期
关键词：
transformer; winding deformation; recursive least squares; support vector machine; FREQUENCY-RESPONSE ANALYSIS;
D O I：
10.1002/tee.23000
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Winding deformation has become an important factor affecting the safe and stable operation of transformers. Parameters such as winding resistance, leakage inductance, and capacitance will change as a result of winding deformation. Therefore, a method of diagnosis of transformer winding deformation based on the above three parameters is proposed in this paper. An equivalent model of the transformer including winding resistance, leakage inductance, and equivalent capacitance is established. Online identification of the winding parameters is realized by the recursive least squares algorithm. Both the winding deformation classification and diagnosis of deformation degree are realized by using the winding parameters identified online. A simulation model of the actual transformer is established for verification and analysis. The results indicate that the method has high precision and overall correct rate. It meets the needs of online monitoring of winding deformation engineering. (c) 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
引用
收藏
页码：1747 / 1753
页数：7
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