Arcing fault detection based on Adaline for Single-Pole Autorecloser

O. Karacasu, M. H. Hocaoğlu
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Abstract

More than 80% of all system faults occur on the power systems are single phase to ground type faults and large majority of these faults are of a transient nature. For ensuring reliability of electricity transmission system, Single Pole Autoreclosers play an important role. However, conventional Single Pole Autoreclosers has no intelligent decision making tool for identification of fault type. In this study, Adaline based fault type identification method is proposed. The proposed algorithm is, also, able to identify secondary arc extinction time. Effectiveness of the proposed method is evaluated via using real data taken from an actual power system.
基于Adaline的单极自闭器电弧故障检测
在电力系统中发生的所有系统故障中,80%以上是单相接地型故障,其中绝大多数是暂态故障。为保证输电系统的可靠性,单极自闭器起着重要的作用。然而,传统的单极自关闭器没有智能决策工具来识别故障类型。本文提出了一种基于Adaline的故障类型识别方法。该算法还能识别二次消弧时间。通过实际电力系统的实测数据对该方法的有效性进行了评价。
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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