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首页> 外文会议>2011 International Conference on Electric Information and Control Engineering >A wavelet transform based discrimination between internal faults and inrush currents in power transformers
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A wavelet transform based discrimination between internal faults and inrush currents in power transformers

机译：基于小波变换的变压器内部故障与浪涌电流判别

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摘要

Inrush currents in power transformers are non-sinusoidal, high magnitude currents generated due to flux saturation in the core during energization. This paper describes a decision method for discrimination between internal faults and inrush currents in power transformers using the wavelet transform based feature extraction technique. It is shown that the features extracted by the wavelet transform have a more distinctive property than those extracted by the fast Fourier transform due to the good time and frequency localization characteristics of the wavelet transform. As a result, by quantifying the extracted features, the decision for distinguishing an internal fault from an inrush current in different power transformer system can be accurately made. The experiment simulation studies have verified that the proposed method is more reliable and simpler, and is suitable for different power transformer systems.
机译：电力变压器中的涌入电流是非正弦的高幅值电流，这是由于通电期间磁芯中的磁通饱和而产生的。本文介绍了一种基于小波变换特征提取技术的电力变压器内部故障与浪涌电流判别的决策方法。结果表明，由于小波变换具有良好的时间和频率定位特性，与快速傅立叶变换所提取的特征相比，小波变换所提取的特征具有更鲜明的特性。结果，通过量化所提取的特征，可以准确地做出用于区分内部故障与不同电力变压器系统中的浪涌电流的决定。实验仿真研究表明，该方法更可靠，更简单，适用于不同的电力变压器系统。

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