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NEURAL Network based Area and Distance Estimation for Earthfaults in High Ohmic Earthed Power Systems

机译:高欧姆接地电力系统中地震基于神经网络的区域和距离估计

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摘要

The objective of this paper is to answer the question, whe-ther artificial neural networks (ANN) are suitable to locate earthfaults in electrical power Systems. A neural network based approach for an earthfault relay has been developed. After fault detection and classification the earthfault is located by analyzing the transient voltage signals of the three phases V_a, V_b, V_c and the zero sequence voltage V_0, independent of the faulty phase. No signals of currents are used for the fault distance estimation.
机译:本文的目的是回答这个问题,人工神经网络(ANN)适合于在电力系统中定位磨牙。 已经开发出基于基于RailFault中继的基于网络的方法。 在故障检测和分类之后,通过分析三相V_A,V_B,V_C和零序电压V_0的瞬态电压信号,与故障相无关。 没有电流信号用于故障距离估计。

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  • 来源
    《Elektrie》 |2021年第9169期|10-16|共7页
  • 作者

    B.Kulicke; D.Eickmeyer;

  • 作者单位

    Institute of Electrical Power Engineering Technical University of Berlin;

    Institute of Electrical Power Engineering Technical University of Berlin;

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  • 正文语种 eng
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