Performance Impact Analysis of EMTR-based Fault Location in Distribution Networks Considering Line Parameter Sensitivity

WANG Ke; HU Yi; XU Xiaowei; YANG Qing

doi:10.13296/j.1001-1609.hva.2026.06.013

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Performance Impact Analysis of EMTR-based Fault Location in Distribution Networks Considering Line Parameter Sensitivity

Research & Analysis | 更新时间：2026-06-10

- Performance Impact Analysis of EMTR-based Fault Location in Distribution Networks Considering Line Parameter Sensitivity
- High Voltage Apparatus Vol. 62, Issue 6, Pages: 105-112(2026)
- 作者机构：
  
  云南电网有限责任公司电力科学研究院，昆明 650220
  重庆大学输变电装备技术全国重点实验室，重庆 400044
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2026.06.013
  CLC：
- Received：08 November 2025，
  
  Revised：2026-01-20，
  
  Published：16 June 2026
- 稿件说明：
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WANG Ke, HU Yi, XU Xiaowei, et al. Performance Impact Analysis of EMTR-based Fault Location in Distribution Networks Considering Line Parameter Sensitivity[J]. High Voltage Apparatus, 2026, 62(6): 105-112.
DOI：

WANG Ke, HU Yi, XU Xiaowei, et al. Performance Impact Analysis of EMTR-based Fault Location in Distribution Networks Considering Line Parameter Sensitivity[J]. High Voltage Apparatus, 2026, 62(6): 105-112. DOI： 10.13296/j.1001-1609.hva.2026.06.013.

摘要

文中提出了一种基于故障电流能量镜像最小值的电磁时间反演故障定位方法，但目前该方法要求反向阶段建立的仿真模型与正向阶段故障时的实际线路模型参数保持一致，从而限制了其在实际中的应用。因此基于该方法在正向阶段和反向阶段模型参数的差异，文中利用PSCAD仿真软件搭建了10 kV配电网线路模型并对其进行频域理论推导，通过仿真分析了不同线路参数灵敏度下该方法的定位性能，并搭建了同轴电缆试验模型进行验证。结果表明：①相比于正向阶段的线路电感参数，当反向阶段的线路电感参数设置在0.95～1.1倍范围内，该方法都能够实现高阻接地故障定位；②该方法可实现实际发生未知接地故障电阻的精确定位，且为提高其整体的定位性能，建议在反向阶段线路横向分支中设置高阻假想接地故障；③通过搭建的同轴电缆试验模型分析了故障阻抗未知情况下对方法故障定位性能的影响，综合故障定位误差最大为5 m。

Abstract

In this paper

an an electromagnetic time reversal fault location method based on the minimum mirror value of fault current energy is proposed. However

this method currently requires that the simulation model set up during the reverse stage to be consistent with the actual line model parameters at the time of the fault during the forward stage

which limits its practical application. Therefore

based on the discrepency in model parameters between the forward and reverse stages of this method

the PSCAD simulation software is used in this paper to set up a 10 kV distribution network line model and its frequency-domain theoretical derivation is conducted .Through simulation

the loalization performance of this method under different line parameter sensitivities is analyzed

and a coaxial cable experimental model is constructed for validation. The results show that：①When the line inductance parameters in the reversed stage are adjusted in the range of 0.95 times to 1.1 times compared to the line inductance parameters in the direct stage

the method is able to accomplish ground fault location with high resistance.②The method can achieve accurate location of the real occurrence of an unknown ground fault resistance

and it is suggested that a high-resistance fictitious ground fault can be set in the line's lateral branch in the reversed stage so to increase its overall location performance.③Using the constructed coaxial cable test model

the impact of unknown fault impedance on the fault location performance of the method is analyzed

with a maximum comprehensive fault localization error of 5 m.

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references

陶劲宇,秦川,金宇清,等.面向新型电力系统的负荷模型研究综述[J].电力系统保护与控制,2025,53(5):168-187.

TAO Jinyu, QIN Chuan, JIN Yuqing, et al. A review of load models for new power systems[J]. Power System Protection and Control, 2025,53(5):168-187.

艾轩源.基于EMIR和WT的配电网故障定位的研究[D].武汉:湖北工业大学,2020.

AI Xuanyuan. Research on fault location of distribution network based on EMTR and WT[D]. Wuhan:Hubei University of Technology,2020.

王小君,任欣玉,和敬涵,等.基于μPMU相量信息的配电网络故障测距方法[J].电网技术,2019,43(3):810-817.

WANG Xiaojun, REN Xinyu, HE Jinghan, et al. Distribution network fault location based on μPMU information[J]. Power System Technology,2019,43(3):810-817.

戴志辉,王旭.基于改进阻抗法的有源配电网故障测距算法[J].电网技术,2017,41(6):2027-2034.

DAI Zhihui, WANG Xu. Impedance method based fault location algorithm for active distribution system[J]. Power System Technology,2017,41(6):2027-2034.

齐郑,黄朝晖,陈艳波.基于零序分量的阻抗法配电网故障定位技术[J].电力系统保护与控制,2023,51(6):54-62.

QI Zheng, HUANG Chaohui, CHEN Yanbo. Impedance fault location technology for a distribution network based on a zerosequence component[J]. Power System Protection and Control, 2023,51(6):54-62.

吉兴全,黄心月,张玉敏,等.基于时域差分运算的配电网多分支线路故障定位方法[J].电力系统保护与控制,2025,53(24):13-25.

JI Xingquan, HUANG Xinyue, ZHANG Yumin, et al. Fault location method for multi-branch distribution network lines based on time-domain differential operation[J].Power System Protection and Control,2025,53(24):13-25.

舒佳蕾,陈依林,曹虹,等.基于图注意力网络的配电网故障行波定位方法[J].电力科学与技术学报,2025,40(1):85-91.

SHU Jialei, CHEN Yilin, CAO Hong, et al. A fault traveling wave localization method for distribution networks based on graph attention networks[J].Journal of Electric Power Science and Technology,2025,40(1):85-91.

张帝,宋兴荣,唐海国,等.基于自适应VMD和WVD的配电网故障行波检测方法[J].电力科学与技术学报,2024,39(2):80-90.

ZHANG Di, SONG Xingrong, TANG Haiguo, et al. Fault traveling wave detection method of distribution network based on adaptive VMD and WVD[J].Journal of Electric Power Science and Technology,2024,39(2):80-90.

麦家怡,侯祖锋,梁苑,等.基于高性能神经网络的配电网自主故障定位算法研究[J].电测与仪表,2025,62(12):81-90.

MAI Jiayi, HOU Zufeng, LIANG Yuan, et al. Research on autonomous fault location algorithm for distribution networkbased on high performance neural network[J].Electrical Measurement & Instrumentation,2025,62(12):81-90.

WU Yang, ZHANG Pinjia, LU Guanghui. Detection and location of aged cable segment in underground power distribution system using deep learning approach[J]. IEEE Transactions on Industrial Informatics,2021,17(11):7379-7389.

王宇杉,王晨,王淑侠,等.基于IWOA的配电网故障定位方法[J].智慧电力,2024,52(11):98-105.

WANG Yushan, WANG Chen, WANG Shuxia, et al. Fault location method for distribution network based on improved IWOA[J]. Smart Power,2024,52(11):98-105.

刘国胜,李泽文,夏翊翔,等.基于电流行波高频能量比值的全并联AT牵引网单端故障定位方法[J].电力系统保护与控制, 2024,52(6):99-108.

LIU Guosheng, LI Zewen, XIA Yixiang, et al. Single-end fault localization method for an all-parallel AT traction network based on high-frequency energy ratio of current traveling waves[J]. Power System Protection and Control,2024,52(6):99-108.

李航,曾海燕,喻锟,等.基于多端行波频率矩阵的复杂配电网故障定位方法[J].电力科学与技术学报,2024,39(3):19-30.

LI Hang, ZENG Haiyan, YU Kun, et al. Fault location method for complex distribution networks based on multiterminal traveling wave frequency matrix[J].Journal of Electric Power Science and Technology,2024,39(3):19-30.

ZHAI Huiqing, SHA Shaoshu, SHENOY V K, et al. An electronic circuit system for time-reversal of ultra-wideband short impulses based on frequency-domain approach[J]. IEEE Transactions on Microwave Theory and Techniques,2010,58(1):74-86.

LUGRIN G, MORA N M, RACHIDI F, et al. On the location of lightning discharges using time reversal of electromagnetic fields[J]. IEEE Transactions on Electromagnetic Compatibility,2014,56 (1):149-158.

KARAMI H, AZADIFAR M, MOSTAJABI A, et al. Numerical and experimental validation of electromagnetic time reversal for geolocation of lightning strikes[J]. IEEE Transactions on Electromagnetic Compatibility,2020,62(5):2156-2163.

刘青,黄玉河,王宇,等.基于电磁时间反演P范数判据的配电网故障定位[J].电力系统保护与控制,2024,52(3):74-82.

LIU Qing, HUANG Yuhe, WANG Yu, et al. Distribution network fault location based on an electromagnetic time reversal P parametric criterion[J]. Power System Protection and Control, 2024,52(3):74-82.

MANESH H M, LUGRIN G, RAZZAGHI R, et al. A new method to locate faults in power networks based on electromagnetic time reversal[C]//2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). Turkey:IEEE,2012:469-474.

RAZZAGHI R, LUGRIN G, MANESH H, et al. An efficient method based on the electromagnetic time reversal to locate faults in power networks[J]. IEEE Transactions on Power Delivery,2013, 28(3):1663-1673.

柴鹏,周灏,张煜,等.基于护层电流时域反演信号的高压电缆短路故障定位方法[J].电力科学与技术学报,2021,36 (6):189-195.

CHAI Peng, ZHOU Hao, ZHANG Yu, et al. Fault location method for high-voltage cable short-circuit based on electromagnetic time reversal[J]. Journal of Electric Power Science and Technology, 2021,36(6):189-195.

RAZZAGHI R, PAOLONE M, RACHIDI F, et al. Fault location in multi-terminal HVDC networks based on electromagnetic time reversal with limited time reversal window[C]//2014 Power Systems Computation Conference. Poland:IEEE,2014:1-7.

RAZZAGHI R, LUGRIN G, PAOLONE M, et al. On the use of electromagnetic time reversal to locate faults in series-compensated transmission lines[C]//2013 IEEE Grenoble Conference. France:IEEE,2013:1-5.

AN Jianwei, ZHUANG Chijie, RACHIDI F, et al. An effective EM-TR-based high-impedance fault location method for transmission lines[J]. IEEE Transactions on Electromagnetic Compatibility, 2021,63(1):268-276.

WANG Guanbo, ZHUANG Chijie. A fault location method using direct convolution:Electromagnetic time reversal or not reversal[J]. IEEE Transactions on Electromagnetic Compatibility,2022,64(4):1112-1116.

杨欢红,朱子叶,黄文焘,等.基于直接时间反转法的直流配电网故障测距[J].电力系统保护与控制,2022,50(16):66-75.

YANG Huanhong, ZHU Ziye, HUANG Wendao, et al. Fault location of a DC distribution network based on a direct time reversal method[J]. Power System Protection and Control,2022,50 (16):66-75.

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