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首页> 外文期刊>Electric power systems research >Application of wavelet multiresolution analysis for identification and classification of faults on transmission lines
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Application of wavelet multiresolution analysis for identification and classification of faults on transmission lines

机译：小波多分辨率分析在输电线路故障识别与分类中的应用

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This paper presents a new method for identification and classification of faults based on wavelet multiresolution analysis (MRA). Daubechies eight (D-8) wavelet transforms of the three phase currents on a transmission line fed from both ends are used. The peak absolute value, the mean of the peak absolute values and summation of the 3rd level output of MRA detail signals of current in each phase extracted from the original signals are used as the criterion for the analysis. The effects of fault distance, fault inception angle and fault impedance are also examined. Extensive simulations are carried out to generate time domain input signal using EMTP (Microtran) on a 230 kV, 200 km long line fed from both ends and simulation results show that the proposed method is a simple, effective and robust method suitable for high impedance faults also.
机译：本文提出了一种基于小波多分辨率分析（MRA）的故障识别与分类新方法。使用从两端馈送的传输线上的三相电流的Daubechies八（D-8）小波变换。从原始信号中提取的每个相中电流的MRA详细信号的峰值绝对值，峰值绝对值的平均值和第三级输出的总和用作分析的标准。还检查了故障距离，故障起始角度和故障阻抗的影响。在两端馈入的230 kV，200 km长的线路上进行了广泛的仿真，以使用EMTP（Microtran）生成时域输入信号，仿真结果表明，该方法是一种适用于高阻抗故障的简单，有效且鲁棒的方法也。

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