基于数学形态学暂态特征提取的高压直流输电线路精确故障定位

在介绍数学形态学基本原理的基础上,给出了利用数学形态学梯度技术提取暂态行波信号突变特征,反映信号突变时刻的故障定位新方法。仿真结果表明该方法对于近距离故障,高阻接地故障等传统方法难于准确定位的故障类型都具有很好的定位效果。本文详细分析和比较了数学形态学变换和小波变换对突变信号的检测性能,分析和仿真结果都表明,数学形态学梯度技术对突变信号具有很强检测能力,相比于小波变换等积分变换来说,数学形态学对噪声不太敏感,变换结果更易于分辨,且算法简单,耗时较小,易于硬件实现。

Accurate Fault Location for HVDC Transmission Line Based on Transient Extraction of Mathematical Morphology

The basic theory of mathematical morphology is introduced. A novel fault location method of traveling wave based on mathematical morphology gradient technology pr rioposed to extract the fault characteristics of transient traveling wave and to reflect the saltated time of signal. the results simulation show that the method can provide accurate result for near distance fault and large resistance grounding fault. The abilities of detecting signal of mathematical morphology transform and wavelet transform are analyzed and compared. Results show that mathematical morphology has strong detecting ability for saltation signals. Compared with wavelet transform, mathematical morphology is not sensitive to noise, and transform result is easy to be distinguished. Its algorithm is simple, needs little time and is easy for hardware application.