Dynamic Fault Classification and Location in Distribution Networks

Abdelhakim Bouricha, T. Bouthiba, Samira Seghir, Rebiha Boukhari
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Abstract

This paper presents a method for detecting, classifying and localizing faults in MV distribution networks. This method is based on only two samples of current or voltage signals. The fault detection, faultclassification and fault localization are based on the maximum value of current and voltage as a function of time. A study is presented in this work to evaluate the proposed method.A comparative study between current and voltage method detection has been done to determine which is the fastest. In addition, the classication and localization of faults were made by the same method using two samples signal. Simulation with results have been obtained by using MATLAB / Simulink software. Results are reported and conclusions are drown.  This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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配电网动态故障分类与定位
本文提出了一种中压配电网故障检测、分类和定位的方法。该方法仅基于电流或电压信号的两个样本。故障检测、故障分类和故障定位都是基于电流和电压的最大值作为时间的函数。在这项工作中提出了一项研究来评估所提出的方法。对电流法和电压法检测进行了比较研究,以确定哪一种方法最快。此外,采用相同的方法对两个样本信号进行故障分类和定位。利用MATLAB / Simulink软件进行了仿真,得到了仿真结果。结果被报告,结论被淹没。这是一篇在知识共享署名许可(http://creativecommons.org/licenses/by/4.0/)下发布的开放获取文章,该许可允许在任何媒体上不受限制地使用、分发和复制,前提是正确引用原始作品。
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