摘要
输电线路发生故障后,采集到的信号往往带有各种噪声,有效滤除噪声对行波的干扰,提取有用的行波信号,是实现行波故障定位的关键。在比较了小波变换和数学形态学对白噪声和脉冲噪声滤除效果的基础上,结合小波变换和数学形态学各自的优点,先采用数学形态学滤除行波信号中的随机噪声和脉冲噪声,然后对故障行波电流信号进行相模变换,通过小波分解提取出故障分量发生奇异性的时间点,并采用双端测距法更准确地定位故障点。实例分析表明该方法有很高的测距精度。
The signals contain with various noise after the transmission line fault occurred.It＇s critical for realizing the traveling wave fault location to efficiently filter the noise of traveling wave and extract the useful signal of traveling wave.By comparing the de-nosing effect of wavelet transform with that of mathematics morphology in aspect of white noise and impulsive noise,combined with the advantage of wavelet transform and mathematics morphology,this paper firstly adopts mathematics morphology to filter the random noise and impulse noise.Secondary,the paper makes the phase-mode transformation for traveling wave fault current signal.Finally,the paper extracts the time spots of strangeness of fault component by wavelet decomposition,and more accurately locates the fault point by double terminals method.Example analysis shows that the de-noising effect of this combined method is of excellent ranging precision.
出处
《陕西电力》
2010年第12期46-49,共4页
Shanxi Electric Power
关键词
数学形态学
故障定位
行波
小波分析
mathematics morphology
fault location：traveling wavelet
wavelel transformation
