【摘要】 用于交流输电线路故障测距的小波变换故障定位方法存在精度低和自适应差的缺陷。为此,提出一种VMD-TEO算法,利用变分模态分解(variational mode decomposition, VMD)算法分解故障行波信号,通过Teager能量算子(Teager energy operator, TEO)提取分解后的高频模态分量的能量突变点,将能量峰值对应的时刻带入分布式故障测距算法,获取故障位置。算例仿真对比结果表明:VMD-TEO算法定位误差小于0.1%,小波变换法故障定位的误差约为VMD-TEO算法的10倍;VMD-TEO算法分解信号后能够有效去除噪声干扰,成功提取波头信号,大幅度提高故障定位的准确度。更多还原

【Abstract】 The fault location method based on wavelet transform for AC transmission lines has defects of low precision and poor self-adaption, therefore, this paper presents a kind of VMD-TEO based algorithm using the variational mode decomposition(VMD) algorithm to decompose the fault traveling wave signals and the Teager energy operator(TEO) to extract the energy mutation points of the high-frequency intrinsic mode function. By introducing the corresponding time of the energy peak intro the distributed fault location algorithm, it obtains the fault location. The simulation comparison results indicate the error of VMD-TEO algorithm is less than 0.1% and the error of wavelet transform method is about ten times that of VMD-TEO algorithm. The VMD-TEO algorithm can remove the noise interference well and extract the wave-head signal successfully, which means greatly improving the accuracy of fault location更多还原