Supplement

An experimental study was conducted on a high-voltage glass-type disc (LD-160) to investigate the effect of string arrangements on pollution and icing flashover characteristics. Two Artificial Neural Network (ANN) applications were developed to simulate and calculate the flashover voltage based on the experimental results. The test results showed that the inverted T-type arrangement can improve the pollution flashover voltage and increase the icing flashover voltage of insulator strings compared to the traditional arrangement of the I-string. The simulation results indicate the efficiency of the ANN applications in obtaining the optimal arrangement of the inverted T-string with good accuracy and small error rates.

一项针对高压玻璃圆盘（LD-160型）的实验研究得以实施，旨在探究导线布置对污染和闪络特性的影响。基于实验数据，开发了两种人工神经网络（ANN）应用，以模拟并计算闪络电压。实验结果表明，相较于传统的I型导线布置，倒T型布置能够提升绝缘导线的污染闪络电压，并增加其冰闪络电压。模拟结果亦显示出ANN应用在获取倒T型导线最佳布置方案方面的效率，其精确度高，误差率小。