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中文摘要：
为了识别变压器励磁涌流和内部故障电流,通过分析由半波傅里叶算法计算差动电流的基波幅值的变化特征,提出了一种基于半波傅里叶算法得到的基波幅值的波动系数的判据方法。该方法先对差动电流进行一阶差分滤波处理,用半波傅里叶算法求得基波幅值,选取工频一周波内计算所得基波幅值为数据窗,将其分成两段后各自求得面积,通过求得小面积与大面积比的最小值来识别励磁涌流和故障电流,该方法具有抗CT稳态饱和特性。通过理论分析和大量动模实验验证了该方法的准确性和可靠性。
英文摘要：
In order to identify transformer excitation inrush current and internal fault current,by analyzing the charac-teristics of fundamental current amplitude calculated by half-wave Fourier algorithm,hence this paper presents a meth-od based on the fluctuation coefficient of fundamental current amplitude calculated by half-wave Fourier algorithm. Themethod samples currents with differential filter continuously,obtains the fundamental current amplitude based half-wave Fourier,selects the data of power frequency as the data window,acquires the respective area after dividing intotwo,and obtains the ratio of small area and big are to identify magnetizing inrush from inside fault current. The methodhas good resisting current transformer（CT）steady saturated features. Theoretical analysis and dynamic simulation re-sults show that the method is correct and effective under various fault conditions.
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