基于电磁辐射到达时差的电弧故障定位及精度

徐肖伟 ,  王科 ,  项恩新 ,  张贵鹏 ,  聂鼎 ,  马仪 ,  杨庆 ,  齐玥

科学技术与工程 ›› 2024, Vol. 24 ›› Issue (11) :4520-4526

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科学技术与工程 ›› 2024, Vol. 24 ›› Issue (11) :4520-4526 DOI: 10.12404/j.issn.1671-1815.2304659
电工技术

基于电磁辐射到达时差的电弧故障定位及精度

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Arc Fault Location Accuracy Based on Time Difference of Arrival of Electromagnetic Radiation Signals

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摘要

为了实现利用电磁辐射信号进行配网电弧故障定位,提出了一种基于到达时差(time difference of arrival, TDOA)方法的Chan-LM协同定位算法。该算法采用Chan算法快速获得的初始点,再经过LM(Levenberg-Marquart)算法迭代修正定位结果。仿真分析了TDOA定位算法、电磁辐射传感器配置对定位精度的影响,结果表明Chan-LM协同算法比Chan算法的定位误差减小40%,参考主站位于中心位置的Y形布站方式,传感器所在海拔高度相同时的监测区域整体定位准确度较高。利用实测电弧电磁辐射波形验证了Chan-LM协同算法能够有效改善定位精度,为基于电磁辐射TDOA的电弧定位策略应用提供参考依据。

Abstract

In order to locate the distribution network arc fault with the electromagnetic radiation signals, a Chan-LM joint location algorithm based on time difference of arrival (TDOA) method was proposed. The influence of TDOA location algorithm and electromagnetic radiation sensor configuration on location accuracy was analyzed by simulation. The results show that the positioning error of Chan-LM joint algorithm is reduced by 40% compared with that of Chan algorithm. It can achieve a high accuracy of location results for the entire detection area when the main station is located in the central position of Y-shaped distribution with these sensors at the same altitude. In light of the measured arc electromagnetic radiation waveform, it is verified that the Chan-LM joint algorithm can effectively improve the positioning accuracy. A reference is provided for the application of the arc fault location strategy based on electromagnetic radiation TDOA.

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徐肖伟, 王科, 项恩新, 张贵鹏, 聂鼎, 马仪, 杨庆, 齐玥. 基于电磁辐射到达时差的电弧故障定位及精度[J]. 科学技术与工程, 2024, 24(11): 4520-4526 DOI:10.12404/j.issn.1671-1815.2304659
XU Xiao-wei, WANG Ke, XIANG En-xin, ZHANG Gui-peng, NIE Ding, MA Yi, YANG Qing, QI Yue. Arc Fault Location Accuracy Based on Time Difference of Arrival of Electromagnetic Radiation Signals[J]. Science Technology and Engineering, 2024, 24(11): 4520-4526 DOI:10.12404/j.issn.1671-1815.2304659

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南网重点科技项目(YNKJXM20220023)

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