An on-line detection method of transformer winding deformation based on variational mode decomposition and probability density estimation

被引：0
|
作者：
Zhang N. [1 ]
Zhu Y. [1 ]
Gao Y. [1 ]
Zhao L. [1 ]
Chen X. [1 ]
Guo X. [1 ]
机构：
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding, 071003, Hebei Province
来源：
Dianwang Jishu/Power System Technology | 2016年 / 40卷 / 01期
关键词：
Parameter estimation; Probability density; Short-circuit reactance; Transformer winding deformation; Variational mode decomposition;
D O I：
10.13335/j.1000-3673.pst.2016.01.041
中图分类号：
学科分类号：
摘要：
Short-circuit reactance is an important criterion of transformer winding deformation. But it presents certain randomness caused by noise interference at on-site measurement, influencing judgment of winding state. Thus, an on-line detection method of winding deformation based on variational mode decomposition (VMD) and probability density estimation is proposed. At first, VMD is used to de-noise electrical signal and extract fundamental mode component. Then short-circuit reactance is calculated on-line with fundamental mode component. Finally, with samples of short-circuit reactance calculated in each testing period, probability density function of normal distribution is obtained with parameter estimation. Mean of normal distribution is estimated to calculate deviation factor of short-circuit reactance, reflecting current state of windings. Results of simulation show that the proposed method can get estimate value of short-circuit reactance steadily, eliminating influence of noise and measurement error of equipment and detecting winding deformation reliably. © 2016, Power System Technology Press. All right reserved.
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页码：297 / 302
页数：5
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