首页> 外文会议>International Universities Power Engineering Conference(UPEC 2004) vol.1; 20040906-08; Bristol(GB) >A Novel Approach to Detection High Impedance Faults Using Artificial Neural Network
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A Novel Approach to Detection High Impedance Faults Using Artificial Neural Network

机译:基于人工神经网络的高阻抗故障检测新方法

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This paper presents a new approach to detection high impedance faults in distribution system using artificial neural network. The proposed neural network, was trained by data from simulation of a distribution system under different faults conditions, and tested by data with different condition system. Details of the design procedure and the results of performance studies with the proposed method are given in the paper. Performance studies results show that the proposed algorithm is very good performance in detecting a high impedance fault with nonlinear arcing resistance. It is clearly shown that with this integrated approach, the accuracy in detection fault is significantly improved over other techniques based on a conventional algorithm.
机译:本文提出了一种新的利用人工神经网络检测配电系统高阻抗故障的方法。所提出的神经网络通过在不同故障条件下的配电系统仿真数据进行训练,并在不同条件下的数据进行测试。本文给出了设计程序的详细信息以及使用该方法进行性能研究的结果。性能研究结果表明,该算法在检测具有非线性电弧电阻的高阻抗故障中具有很好的性能。清楚地表明,采用这种集成方法,与基于常规算法的其他技术相比,检测故障的准确性大大提高。

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