电网技术Issue(2)：440-447,8.DOI:10.13335/j.1000-3673.pst.2014.02.026
染污玻璃绝缘子泄漏电流特性及其闪络电压预测
Flashover Voltage Prediction of Polluted Glass Insulators Based on the Characteristics of Leakage Current
摘要
Abstract
Effective prediction of the flashover voltage of insulators is an important approach to the prevention of pollution flashover accidents, and the leakage current (LC) is an important factor to analyze and detect the flashover voltage of insulators. In order to predict the flashover voltage of insulators and prevent pollution flashover accidents, firstly, a large number of artificial pollution tests were investigated under different contamination levels and different relative humidity (RH). Secondly, based on the experimental data, four characteristics of the LC, namely the entropy of pulse amplitude (S), the maximum pulse amplitude (Ih), the energy ration (K) and the energy (E), were extracted. They reflect jointly how severe the contamination level of insulators and the RH are from different perspectives. Thirdly, the variation laws between the four characteristics and the contamination level, RH, were obtained. Finally, based on the relationship among them and generalized regression neural network (GRNN), the flashover voltage prediction GRNN model were presented, in which the four characteristics and the RH were used as the inputs of model, and the flashover voltage was used as the output of model. Comparison between prediction results and test results showed that relative errors are less than 7.33%. Therefore, the GRNN model is valid and reliable to predict the flashover voltage of insulators and it can provide a reliable guide for operators.关键词
泄漏电流/污秽度/相对湿度/绝缘子/闪络电压预测/广义回归神经网络Key words
leakage current/contamination level/relative humidity/insulators/flashover voltage prediction/generalized regression neural network分类
信息技术与安全科学引用本文复制引用
赵世华,蒋兴良,张志劲,胡建林..染污玻璃绝缘子泄漏电流特性及其闪络电压预测[J].电网技术,2014,(2):440-447,8.基金项目
国家重点基础研究发展计划项目(973项目)(2009CB72-4501/502/503)。The National Basic Research Program (973 Program)(2009CB724501/502/503) （973项目）
