DocumentCode :
3009689
Title :
Apparatus for on-line monitoring of transformer winding deformation using leakage inductance identification
Author :
Yao Zhoufei ; Yin Yi ; Wang Zhihao ; Li Zhe ; Wang Qiaohua
Author_Institution :
Dept. of Electr. Eng., Shanghai Jiaotong Univ., Shanghai, China
fYear :
2012
fDate :
23-27 Sept. 2012
Firstpage :
613
Lastpage :
616
Abstract :
Windings of power transformer may suffer short circuit currents or mechanical forces, which lead to different winding displacements such as axial displacements and radial displacements. Measurement of leakage inductance is one of the most effective methods to identify these mechanical displacements. In this paper, an on-line detection system based on WinCE platform for transformer winding deformation is proposed. Based on the equivalent circuit of the transformer for low frequencies, the formula to calculate the leakage inductance on-line is derived. In practice, using the signals gained from the voltage transformers and current transformers, with the help of proper signal filtering method, leakage inductance is calculated in our program. Both the signal processing theory and the algorithm of online leakage inductance estimation are presented. To evaluate the feasibility of the detection system, experiments with and without winding displacements were made using a small transformer and the results of on-line detection were discussed.
Keywords :
current transformers; equivalent circuits; potential transformers; power transformers; short-circuit currents; signal processing; transformer windings; WinCE platform; axial displacements; current transformers; equivalent circuit; leakage inductance identification; mechanical displacements; mechanical forces; on-line detection system; on-line monitoring; power transformer; radial displacements; short circuit currents; signal filtering; transformer winding deformation; voltage transformers; Condition monitoring; Conferences; Decision support systems; WinCE; leakage inductance; on-line monitoring; winding deformation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Condition Monitoring and Diagnosis (CMD), 2012 International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4673-1019-2
Type :
conf
DOI :
10.1109/CMD.2012.6416219
Filename :
6416219
Link To Document :
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