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A scheme based on ANNs for single-phase fault location in distribution systems with DG

机译:分布式配电系统中基于神经网络的单相故障定位方案

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This work presents the development and evaluation of a new scheme based on Artificial Neural Network (ANN) for fault detection and fault location in distribution systems with distributed generator. Two different ANNs are used, where the first one is able to detect which part of the distribution system the fault occurred and the second one is able to precisely locate the fault along the faulty line. Results show that the proposed scheme presents a good performance for different fault locations and fault resistances. Only single-phase faults were considered, as they are the majority in distribution systems, thus representing an important problem to be addressed. The solution here presented does not need any additional infrastructure, by using only data stored in existing protection relays.
机译:这项工作提出了一种基于人工神经网络(ANN)的新方案的开发和评估,该方案用于具有分布式发电机的配电系统中的故障检测和故障定位。使用了两种不同的人工神经网络,第一种可以检测故障发生在配电系统的哪一部分,第二种可以沿着故障线精确定位故障。结果表明,所提出的方案对于不同的故障位置和故障电阻表现出良好的性能。仅考虑单相故障,因为它们是配电系统中的大多数故障,因此代表了要解决的重要问题。通过仅使用存储在现有保护继电器中的数据,此处介绍的解决方案不需要任何其他基础结构。

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