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Detection and classification of MMC-HVDC transmission line faults based on one-terminal transient current signal

机译:基于单端暂态电流信号的MMC-HVDC输电线路故障检测与分类

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摘要

To quickly and accurately detect MMC-HVDC transmission line faults and identify the fault types, a new transient protection scheme based on one-terminal transient current signal is presented. MMC has the attenuation characteristic to the high frequency transient current components. By using empirical mode decomposition (EMD) and intrinsic mode function (IMF) energy entropy, the energy distribution of transient current in frequency domain is quantified. The IMF energy entropy is employed as a fault detection criterion to distinguish DC line faults from AC faults. Meanwhile, the trend of transient current, which can be extracted by using the moving average filter (MAF), is obviously dissimilar for different types of DC line faults. DC line faults can be classified into various categories based on this feature. RTDS test results demonstrate that the proposed scheme is able to detect and classify MMC-HVDC transmission line faults under different fault conditions.
机译:为了快速准确地检测MMC-HVDC输电线路故障并确定故障类型,提出了一种基于单端暂态电流信号的暂态保护方案。 MMC具有对高频瞬态电流分量的衰减特性。通过使用经验模式分解(EMD)和固有模式函数(IMF)能量熵,可以量化瞬态电流在频域中的能量分布。 IMF能量熵被用作故障检测标准,以区分直流线路故障和交流故障。同时,可以通过使用移动平均滤波器(MAF)提取的瞬态电流趋势对于不同类型的DC线路故障显然是不同的。基于此功能,直流线路故障可以分为各种类别。 RTDS测试结果表明,该方案能够在不同故障条件下对MMC-HVDC输电线路故障进行检测和分类。

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