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基于MATLAB行波故障精确定位混合算法的研究
Research on the Mixed Algorithm of Fault Exact Localization by Traveling Wave Based on MATLAB

DOI: 10.12677/app.2025.151004, PP. 35-44

Keywords: 故障定位,卡伦堡变换,波速归一法,电流电压极大值
Fault Location
, Karenbauer Transformation, Wave Velocity Normalization Method, Current Voltage Maximum

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Abstract:

无论铁路输电线路还是贯通线路,当发生故障时及时判别故障区域、精确定位故障距离、快速恢复故障区段供电可以减少经济损失,极大提高供电的可靠性和稳定性。本文通过卡伦堡、小波变换算法获取波头到达的时间差,随后利用波速归一法解决行波零模波速在复杂线路中的变化问题,从而达到有效判定故障区域,精确定位故障距离的目的。MATLAB/Simulink仿真结果表明,该方法判定故障区域准确,测距结果精确。
No matter the railway transmission line or the connecting line, identifying the fault area, accurately locating the fault distance, and quickly restoring the power supply in the fault section can reduce economic loss and greatly improve the reliability and stability of the power supply system when the railway breaks down. In this paper, the time difference of wave arrival is obtained by the Karenbauer and wavelet transform algorithm. Then, the wave velocity normalization method is used to save the difference of zero mode wave velocity in complex lines so as to effectively determine the fault area and accurately locate the fault distance. MATLAB/Simulink simulation results show that the method accurately determines the fault area, and the ranging result is accurate.

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