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Study on the method of improving the flashover voltage of 110kV suspension porcelain insulators based on neural network genetic algorithm

机译:基于神经网络遗传算法改进110kV悬架绝缘子闪络电压的方法研究

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This paper presents a new method to improve 110kV porcelain insulator flashover voltage by adding a metal ring on the insulator cap, which can not only effectively reduce the field strength of the steel cap, but also reduce the tangential field intensity of the umbrella group and inhibit the development of the discharge process, thus the flashover voltage can be increased. The surface strength calculation model of 110kV porcelain insulator is established by the finite element method (FEM), and the parameters of the metal ring are designed by neural network genetic algorithm (BP-GA). Then the experiments were carried out to verify the results, and the results show that the metal ring plate under the optimum parameters can greatly improve the flashover voltage.
机译:本文提出了一种通过在绝缘体盖上添加金属环来改善110kV瓷绝缘体闪络电压的新方法,这不仅可以有效地降低钢盖的场强,而且还可以降低伞群的切向场强度和抑制放电过程的开发,从而可以增加闪络电压。通过有限元法(FEM)建立了110kV瓷绝缘体的表面强度计算模型,由神经网络遗传算法(BP-GA)设计了金属环的参数。然后进行实验以验证结果,结果表明,在最佳参数下的金属环板可以大大提高闪络电压。

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