Fault Detection and Localization in LV Smart Grids

N. Sapountzoglou, B. Raison, N. Silva
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引用次数: 7

Abstract

In this paper, fault detection and localization methods for a Low Voltage (LV) smart distribution grid are presented. Two fault detection approaches were examined based on current measurements at the beginning of the feeder and on the highest voltage drop across the feeder branches. The localization method was based solely on nodal rms voltage measurements. Five influencing factors were considered: location of the fault, time of the day, fault resistance value (ranging from $0.1 \Omega $ to $1 k\Omega $.), type of the fault (single-phase to ground short-circuit (SC) and three-phase SC faults) and the available measurements. The method performed best for three-phase faults with fault resistance lower that $50 \Omega $ presenting an accuracy of 96.03% in fault distance estimation. The effects of the above factors in the accuracy are also analyzed. The results have been validated by simulation means on a real semi-rural LV distribution grid of Portugal.
低压智能电网故障检测与定位
介绍了低压智能配电网的故障检测与定位方法。基于馈线起始处的电流测量和馈线支路上的最高电压降,研究了两种故障检测方法。定位方法仅基于节点均方根电压测量。考虑了五个影响因素:故障位置、一天中的时间、故障电阻值(范围从$0.1 \Omega $到$ 1k \Omega $)、故障类型(单相接地短路(SC)和三相SC故障)以及可用的测量方法。该方法在故障电阻低于$50 \Omega $的三相故障中表现最好,故障距离估计准确率为96.03%。分析了上述因素对精度的影响。仿真结果在葡萄牙半农村低压配电网上得到了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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