电力系统及其自动化学报2026，Vol.38Issue(3)：12-23,12.DOI:10.19635/j.cnki.csu-epsa.001689
融合时变滤波经验模态分解与熵峭比的行波波头标定法
Traveling Wave Wavefront Calibration Method Based on Time-varying Filtering-based Empirical Mode Decomposition and Entropy-kurtosis Ratio
摘要
Abstract
To address the susceptibility of traveling wave wavefront calibration methods for distribution networks to noise interference and wavefront distortion,a traveling wave wavefront calibration method integrating time-varying filter⁃ing-based empirical mode decomposition(TVFEMD)and entropy-kurtosis ratio is proposed in this paper.First,the propagation process of traveling wave signals in long and short branch lines is analyzed,revealing the intrinsic link be⁃tween branch lines and traveling wave wavefront distortion.Second,the traveling wave signals are decomposed into mul⁃tiple intrinsic mode function(IMF)components via TVFEMD,which effectively suppresses mode mixing while preserv⁃ing the high-frequency wavefront features.In addition,an entropy-kurtosis ratio is introduced to select the effective IMF component.Subsequently,the Teager energy operator is applied to calibrate the wavefront for the effective IMF compo⁃nent,thus obtaining the precise arrival time of the initial wavefront at the detection terminal.Simulation results demon⁃strate that compared with the existing methods,the proposed approach not only significantly enhances the wavefront cal⁃ibration accuracy,but also excels in processing the distorted traveling wave signals.Meanwhile,its strong noise immu⁃nity is verified,indicating that it can improve the fault location precision in distribution networks.The results in this pa⁃per provide reliable technical support for the location of complex distribution network faults.关键词
配电网/波头标定/时变滤波经验模态分解/熵峭比Key words
distribution network/wavefront calibration/time-varying filtering-based empirical mode decomposition(TVFEMD)/entropy-kurtosis ratio分类
信息技术与安全科学引用本文复制引用
黄昕飞,刘凤,邵杰,蔡田田,陈军健,李俊业..融合时变滤波经验模态分解与熵峭比的行波波头标定法[J].电力系统及其自动化学报,2026,38(3):12-23,12.基金项目
国家自然科学基金联合基金重点支持项目(U22B20113). 南方电网公司数字研究院有限公司科技项目(210002KK52222011). （U22B20113）
