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Citation:Dong Wang,Member,IEEE,et al.Frequency Modification Algorithm-Based Traveling Wave Fault Location Approach for Overhead Transmission Lines with Structural Changes[J].Protection and Control of Modern Power Systems,2025,V10(2):1-12[Copy]
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Frequency Modification Algorithm-Based Traveling Wave Fault Location Approach for Overhead Transmission Lines with Structural Changes
Dong Wang, Member, IEEE,Dachuan Yu, Member, IEEE,Houlei Gao, Member, IEEE,Fang Peng, Member, IEEE,Jianjian Lin,Jianwei Wang,Mengqian Hou
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Abstract:
The traveling wave fault location approach for overhead transmission lines is widely applied in actual power grids due to its better fault location accuracy compared with conventional power frequency data-based methods. However, the traveling wave fault location approach is highly related to the frequency distortion phenomenon of traveling wave propagation velocity, which includes two parts: the distortion caused by the reflection and refraction of the transformer substation and the attenuation caused by the distributed resistance of transmission lines. This study aims to improve fault location accuracy, by developing a complete theoretical analysis of the distortion of traveling wave signals and an improved traveling wave fault location approach that considers distortion. Using the PSCAD/EMTDC simulation tool, a typical 500 kV case study model is established to verify the fault location accuracy of the proposed traveling wave fault location approach under the effects of different fault type, fault location, and grounding resistance.
Key words:  Fault location, frequency distortion, overhead transmission line, PSCAD/EMTDC, traveling wave.
DOI:10.23919/PCMP.2024.000007
Fund:This work is supported by the Natural Science Foundation of China (No. 52407113), the Natural Science Foundation of Shandong Province (No. ZR2024ME075); the Youth Science and Technology Innovation Support Program for Higher Education Institutions of Shandong Province (No. 2024KJH134), and the China Postdoctoral Science Foundation (No. 2023M732045).
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