Search

This paper proposes an Artificial Neural Network (ANN) model for AC flash-over voltage prediction of Silicone Rubber (SiR) insulators based on the experimental tests. In flash-over tests, the flash-over voltages of four different types of SiR insulators are measured under the uniform, longitudinal non-uniform, fan-shaped non-uniform and combined longitudinal, and fan-shaped non-uniform pollution conditions. The proposed ANN model is designed with six inputs data (insulator geometry and pollution parameters) and one output data (flash-over voltage). In order to validate the model, three different types of SiR insulators are tested under different pollution conditions. Then, their flash-over voltages are predicted using the proposed ANN model. The validation of the model shows that the absolute values of relative errors between flash-over voltages of test and prediction are less than 6%. This indicates a high efficiency of ANN technique in the flash-over voltage prediction of SiR insulators. [ABSTRACT FROM AUTHOR]

• The cable sheath induced voltage in combined overhead-cable lines using EMTP/RV software is calculated and the results are analyzed. • The effect of different parameters such as type of ground connection of cable sheath, cable length, lightning strike location, tower footing resistance and ... on cable sheath induced voltage under lightning surge is investigated. • Artificial neural network (ANN) model is designed for maximum induced voltage prediction of cable sheath under lightning surge and different condition. • The optimal response has been obtained at epoch 115 that the mean squared error is about 0.00019. • The absolute values of relative errors between induced voltages of simulation and prediction are less than 8%. This indicates a high efficiency of ANN technique in the cable sheath induced voltage prediction. 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. [ABSTRACT FROM AUTHOR]