研究了带直流滤波的傅里叶算法在电力系统故障电流计算中的误差

Zhou Shijie, L. Hongguang, Li Guanfa, Wen Weihong, Zhang Shijia, Cui Jian, Chen Li-an, Tian Hong, Chen Benbin
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引用次数: 0

摘要

直流滤波通常与傅里叶算法一起用于电力系统故障电流的均方根(RMS)值的计算,以消除故障电流中衰减的直流分量所产生的误差。本文进行了理论推导,表明直流滤波本身会放大采样值的误差,从而降低精度。因此,在这种情况下应用直流滤波时应综合考虑其效果。通过不同采样点个数和不同故障电流初始相位角的数值模拟,验证了上述结论。结果表明,在一定的初始相位角范围内,直流滤波对采样误差的放大最大,削弱了消除直流分量带来的精度提高,甚至由于直流滤波计算的采样点太少而使精度变差。
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Research on the error of the fourier algorithm with DC filtering in fault current calculation of power system
DC filtering is commonly used together with Fourier algorithm in the calculation of root-mean-square (RMS) values of fault current of power system, so as to eliminate the errors produced by the decaying DC component in the fault current. In this paper, theoretical derivation was conducted, showing that errors of sampling values could be amplified by the DC filtering itself, which could lower the accuracy. So the effect of DC filtering should be comprehensively considered when applied in such circumstance. Numerical simulations concerning different number of sampling points and different initial phase angle of the fault current were also conducted to verify the conclusion. Results indicated that within a certain range of the initial phase angle, the amplification of the sampling error is maximized by the DC filtering, weakening the improvement in accuracy brought by the elimination of DC component, or even worsen the accuracy with too few sampling points for DC filtering calculation.
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