赵世华;蒋兴良;张志劲;胡建林;

• 1:国网湖南省电力公司电力科学研究院
• 2:输配电装备及系统安全与新技术国家重点实验室(重庆大学)

摘要(Abstract)：

有效预测绝缘子闪络电压是防止发生污闪事故的重要手段,泄漏电流是分析检测绝缘子闪络电压的重要方法。在人工污秽实验室进行大量的试验,模拟运行电压下污秽度与相对湿度对泄漏电流的影响,从不同角度提取了能够反映绝缘子表面污秽度及相对湿度的4个泄漏电流特征量:泄漏电流脉冲幅值熵S、脉冲幅值Ih、能量比K及能量E,并得到它们之间的变化规律。提出基于广义回归神经网络(generalized regression neural network,GRNN)的绝缘子闪络电压预测模型,将4个特征量S、Ih、K、E及相对湿度作为GRNN模型的输入量,闪络电压作为GRNN模型的输出量。预测结果与试验结果对比分析可知,相对误差小于7.33%,表明提出的绝缘子闪络电压预测GRNN模型的预测结果与试验结果基本一致,能够有效地对绝缘子闪络电压进行预测。

关键词(KeyWords)： 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

Abstract:

Keywords:

基金项目(Foundation): 国家重点基础研究发展计划项目(973项目)(2009CB72-4501/502/503)~~

作者(Author): 赵世华;蒋兴良;张志劲;胡建林;

Email:

DOI: 10.13335/j.1000-3673.pst.2014.02.026

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