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首页> 外文期刊>Electric power systems research >Removal of dc offset and subsynchronous resonance in current signals for series compensated transmission lines using a novel Fourier filter algorithm
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Removal of dc offset and subsynchronous resonance in current signals for series compensated transmission lines using a novel Fourier filter algorithm

机译：使用新型傅里叶滤波器算法消除串联补偿传输线电流信号中的直流偏移和次同步谐振

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In this paper, a novel Fourier filter algorithm for high-accuracy and high-convergence-speed fundamental frequency component calculation of series compensated transmission line is proposed. The performance of digital relaying is highly reliant on the algorithm of digital filtering, especially involving the dc offset and subsynchronous resonance. Input signals of protective relays must be filtered in advance to reject unwanted quantities and retain signal quantities of interest. Accuracy and convergence speed of filter algorithms are essential for protective relays. However, the voltage and current signals contain large harmonics and dc offset during fault intervals. A widely applied filter algorithm, the Discrete Fourier Transform (DFT), can easily eliminate harmonics via simple calculations. The dc offset heavily influences the precision and convergence speed of fundamental frequency component from DFT. Under high resistive fault conditions, the current signals will have subsynchronous resonance. The subsynchronous resonance current and voltage signals influence the performance of DFT much more than the dc offset. Although capable of erasing high order harmonics, the low pass filter cannot remove the dc offset and subsynchronous resonance. The Alternative Transient Program (ATP) of the Electromagnetic Transients Program (EMPT) is utilized to simulate the transient responses of series compensated transmission lines during the fault period. Adopting the proposed algorithm in distance relays effectively locks the dc offset and subsynchronous resonance signals and quickly estimates the accurate fundamental frequency components.
机译：提出了一种新的傅里叶滤波算法，用于串联补偿传输线的高精度，高收敛速度基频分量计算。数字中继的性能高度依赖于数字滤波算法，特别是涉及直流偏移和次同步谐振。保护继电器的输入信号必须预先过滤，以抑制不想要的数量并保留感兴趣的信号数量。滤波器算法的准确性和收敛速度对于保护继电器至关重要。但是，在故障间隔期间，电压和电流信号包含较大的谐波和直流偏移。离散傅里叶变换（DFT）是一种广泛应用的滤波器算法，可以通过简单的计算轻松消除谐波。直流失调会严重影响DFT产生的基频分量的精度和收敛速度。在高阻性故障条件下，电流信号将具有次同步谐振。次同步谐振电流和电压信号对DFT性能的影响远大于直流偏移。尽管能够消除高次谐波，但低通滤波器无法消除直流失调和次同步谐振。电磁暂态程序（EMPT）的备用暂态程序（ATP）用于模拟故障期间串联补偿传输线的暂态响应。在距离继电器中采用所提出的算法可以有效地锁定直流偏移和次同步谐振信号，并快速估算出准确的基频分量。

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