Research on Fault Location Methods for Multi-Terminal Multi-Section Overhead Line–Cable Hybrid Transmission Lines

To address the fault location problem in multi-terminal hybrid overhead–cable transmission lines with multiple sections, this paper proposes a novel method combining Modified Ensemble Empirical Mode Decomposition (MEEMD) and the Teager Energy Operator (TEO). First, the MEEMD algorithm—which mitigates mode mixing—is integrated with the TEO, which captures instantaneous energy variations, to achieve accurate detection of traveling wavefronts. Considering the topological complexity of multi-terminal hybrid transmission lines, a fault branch separation and iterative judgment method is proposed. Based on the arrival time characteristics of traveling waves, two topology decoupling strategies are designed to enable branch identification through network reconstruction and iterative computation. After determining the faulted branch, the fault section is precisely localized by comparing the time difference between the arrival of traveling waves at branch terminals and T-nodes with the propagation time differences at each connection point. Finally, the dual-ended traveling wave method is applied to calculate the fault distance. The proposed method is validated through co-simulation using PSCAD 4.6.2 and MATLAB R2023b. Comparative analysis of ranging accuracy demonstrates that this approach ensures reliable fault location under varying fault positions and transition resistances.

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Publication Details

Journal
Processes
Published
2026-01-26
DOI
https://doi.org/10.3390/pr14030438
Primary Topic
Power Systems Fault Detection
Type
article
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article

Research on Fault Location Methods for Multi-Terminal Multi-Section Overhead Line–Cable Hybrid Transmission Lines

Peilin Xu, Ruyan Zhou
Processes
Power Systems Fault Detection
article

Research on Fault Location Methods for Multi-Terminal Multi-Section Overhead Line–Cable Hybrid Transmission Lines

Peilin Xu, Ruyan Zhou
article en

Abstract

To address the fault location problem in multi-terminal hybrid overhead–cable transmission lines with multiple sections, this paper proposes a novel method combining Modified Ensemble Empirical Mode Decomposition (MEEMD) and the Teager Energy Operator (TEO). First, the MEEMD algorithm—which mitigates mode mixing—is integrated with the TEO, which captures instantaneous energy variations, to achieve accurate detection of traveling wavefronts. Considering the topological complexity of multi-terminal hybrid transmission lines, a fault branch separation and iterative judgment method is proposed. Based on the arrival time characteristics of traveling waves, two topology decoupling strategies are designed to enable branch identification through network reconstruction and iterative computation. After determining the faulted branch, the fault section is precisely localized by comparing the time difference between the arrival of traveling waves at branch terminals and T-nodes with the propagation time differences at each connection point. Finally, the dual-ended traveling wave method is applied to calculate the fault distance. The proposed method is validated through co-simulation using PSCAD 4.6.2 and MATLAB R2023b. Comparative analysis of ranging accuracy demonstrates that this approach ensures reliable fault location under varying fault positions and transition resistances.

ProcessesVol. 14(3)
Shanghai Ocean University (CN)
Affordable and clean energy
Openalex Percentile: Top 77%
Power Systems Fault Detection
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Research on Fault Location Methods for Multi-Terminal Multi-Section Overhead Line–Cable Hybrid Transmission Lines — Peilin Xu, Ruyan Zhou · Processes (2026) | TGRS Research Map | TGRS