Accurate Extraction Method of Fault Traveling Wave Head for Complex Distribution Network with Distributed Power Supply

Aiming at the difficulty of extracting fault traveling wave fronts in complex distribution networks, this paper proposes a precise extraction method based on MRSVD-ICEEMDAN-CSSTEO. The MRSVD algorithm is employed to rapidly and effectively eliminate harmonic interference. For signal decomposition, an improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) is developed by introducing Dynamic Time Warping (DTW) to evaluate the correlation between intrinsic mode function (IMF) groups, thereby suppressing pseudo-modal phenomena. In terms of wavefront detection, a Cubic Spline Smoothed Teager Energy Operator (CSSTEO) is proposed to enhance the traditional TEO. By integrating cubic spline interpolation, the influence of external noise on wavefront detection accuracy is minimized, enabling precise capture of fault traveling wave fronts.

Authors

Institutions

Publication Details

Published
2025-04-11
DOI
https://doi.org/10.1109/icmtim65484.2025.11040305
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accurate Extraction Method of Fault Traveling Wave Head for Complex Distribution Network with Distributed Power Supply

Zhongfeng Pan, Bob Zhang, Hui Wang, Liang Xu et al.
Power Systems Fault Detection
article

Accurate Extraction Method of Fault Traveling Wave Head for Complex Distribution Network with Distributed Power Supply

Zhongfeng Pan, Bob Zhang, Hui Wang, Liang Xu, Yang Zhao, Yan Meng
article en

Abstract

Aiming at the difficulty of extracting fault traveling wave fronts in complex distribution networks, this paper proposes a precise extraction method based on MRSVD-ICEEMDAN-CSSTEO. The MRSVD algorithm is employed to rapidly and effectively eliminate harmonic interference. For signal decomposition, an improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) is developed by introducing Dynamic Time Warping (DTW) to evaluate the correlation between intrinsic mode function (IMF) groups, thereby suppressing pseudo-modal phenomena. In terms of wavefront detection, a Cubic Spline Smoothed Teager Energy Operator (CSSTEO) is proposed to enhance the traditional TEO. By integrating cubic spline interpolation, the influence of external noise on wavefront detection accuracy is minimized, enabling precise capture of fault traveling wave fronts.

Jilin Electric Power Research Institute (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 83%
Power Systems Fault Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Accurate Extraction Method of Fault Traveling Wave Head for Complex Distribution Network with Distributed Power Supply — Zhongfeng Pan, Bob Zhang, et al. · (2025) | TGRS Research Map | TGRS