Abstract This paper aims to propose an Artificial Neural Network (ANN) model for voltage prediction in cable sheath of combined overhead-cable line under lightning condition. To this end, the effect of different parameters, including tower footing resistance, sheath ground resistance, a kind of ground connection of sheath on the maximum induced voltage of cable sheath in 132 kV combined line are investigated using EMTP/RV software. It is assumed, in this study, that lightning strike to the Guard wire and back-flashover occurred and/or lightning strike to the overhead line. With these results in mind, the proposed model is designed with ten inputs data and four outputs data. The validation of the model indicates that the absolute values of relative errors between induced voltages of simulation and prediction are less than 8%. This indicates high efficiency of ANN technique in the maximum induced voltage prediction of cable sheath under lightning surge.

中文翻译：

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基于人工神经网络的高压电缆护套感应电压预测

摘要 本文旨在提出一种人工神经网络(ANN)模型，用于雷电条件下组合架空电缆电缆护套电压预测。为此，利用EMTP/RV软件，研究了塔基电阻、护套接地电阻、护套接地方式等不同参数对132 kV合线电缆护套最大感应电压的影响。在本研究中，假设发生了雷击保护线和反向闪络和/或雷击架空线。考虑到这些结果，所提出的模型设计有十个输入数据和四个输出数据。模型验证表明，仿真与预测的感应电压相对误差绝对值小于8%。