摘要
针对单双端行波故障测距算法存在难以准确、便捷地识别故障行波波头等问题,提出了一种根据两测量点所测时间比例来计算故障距离的双端行波故障定位算法,将希尔伯特-黄变换和小波变换结合,利用高斯模型快速、准确地提取故障行波波头到达时刻,再结合已知定长计算故障距离。大量基于MATLAB/Simulink的仿真实验结果表明,该算法的相对定位误差不足1%,且不受故障距离、故障类型、故障电阻、故障初相角的影响,具有较好的适应性和实用价值。
Aiming at the drawback that single and two terminal travelling wave fault location algorithms are difficult tO identify the wavefront of fault travelling wave accurately and easily, a novel two-terminal travelling wave fault location algorithm is proposed in this paper, which calculates the fault distance according to the proportions of time coming from two measurement points. This algorithm combines Hilbert-Huang transform and wavelet transform, and extracts the time when the wavefront of fault travelling wave arrives by using Gaussian Model quickly and accurately. Then the fault distance can be calculated with the known fixed-length. The numerous simulation results based on MATLAB/Simulink show that the relative positioning error of this algorithm is less than 1% , and it is independ- ent to fault distance, fault type, fault resistance and initial phase angle, so it possesses better adaptability and prac- tical value.
出处
《电子测量与仪器学报》
CSCD
北大核心
2016年第1期20-29,共10页
Journal of Electronic Measurement and Instrumentation
基金
广东省科技计划项目(2013B010401019)
珠海市公共平台项目(2013D0501990002)
