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Wavelet transform based relay algorithm for the detection of stochastic high impedance faults

机译:基于小波变换的继电器算法检测随机高阻故障

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摘要

High impedance faults (HIF) are faults which are difficult to detect by overcurrent protection relays. This paper presents a practical pattern recognition based algorithm for electric distribution high impedance fault detection. The scheme recognizes the distortion of the voltage and current waveforms caused by the arcs usually associated with HIF. The analysis using discrete wavelet transform (DWT) yields three phase voltage and current in the low frequency range which fed to a classifier for pattern recognition. The classifier is based on the algorithm using nearest neighbour rule approach. A HIF model was also developed, where the random nature of the arc was simulated using MATLAB.
机译:高阻抗故障(HIF)是过电流保护继电器很难检测到的故障。本文提出了一种实用的基于模式识别的配电高阻抗故障检测算法。该方案可以识别通常由HIF引起的电弧引起的电压和电流波形的失真。使用离散小波变换(DWT)的分析会产生低频范围内的三相电压和电流,这些电压和电流会馈入分类器以进行模式识别。分类器基于使用最近邻居规则方法的算法。还开发了HIF模型,其中使用MATLAB模拟了电弧的随机特性。

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