Evaluation of Leakage Current of Insulators Based on the Genetic Algorithm

ZHANG Youpeng; WU Yaping; DONG Haiyan; ZHOU Yu; CHEN Zhidong

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Evaluation of Leakage Current of Insulators Based on the Genetic Algorithm

更新时间：2025-12-08

- Evaluation of Leakage Current of Insulators Based on the Genetic Algorithm
- Vol. 41, Issue 8, Pages: 2757-2763(2015)
- 作者机构：
  
  兰州交通大学自动化与电气工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published Online：31 August 2015，
  
  Published：2015
- 稿件说明：
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ZHANG Youpeng, WU Yaping, DONG Haiyan, et al. Evaluation of Leakage Current of Insulators Based on the Genetic Algorithm[J]. 2015, 41(8): 2757-2763.
DOI：

ZHANG Youpeng, WU Yaping, DONG Haiyan, et al. Evaluation of Leakage Current of Insulators Based on the Genetic Algorithm[J]. 2015, 41(8): 2757-2763. DOI：

摘要

为了探索绝缘子泄漏电流与各因素之间的本质联系

确定出它们之间的具体函数关系

采用遗传算法（GA）得到了相对湿度Hr、等值附盐密度ρESDD及作用电压U与泄漏电流幅值Ih的对应关系。首先进行了单片瓷绝缘子人工污秽试验

利用泄漏电流测量系统记录了泄漏电流波形并进行了分析;其次利用遗传算法得到了Hr、ρESDD、U与Ih的函数关系;最后将该方法与最小二乘法进行了比较。结果表明:Ih与Hr、ρESDD和U均有关系

影响程度从大到小依次为ρESDD、Hr、U;相较于利用最小二乘法估算泄漏电流与各因素之间的相关系数

遗传算法不仅确定出它们之间的具体函数形式

而且提高了估算的准确性。仿真结果表明利用遗传算法估算泄漏电流幅值的方法是有效可行的

该研究结果可以为工程中基于泄漏电流污秽度的评估提供参考。

Abstract

In order to explore the fundamental relation and its corresponding functions between leakage current in insulators and its influential factors

we studied the relationship among leakage current Ih

relative humidity density Hr

equivalent salt deposit density ρESDD

and applied voltage U using the genetic algorithm（GA）. Firstly

artificial pollution tests were conducted on single suspension insulators; waveforms of leakage current were recorded and analyzed using a leakage current monitoring system. Secondly

the functional relationship among Hr

ρESDD

and Ih was obtained by GA. Finally

we compared this method with the least square method. The results show that Ih is related to ρESDD

and U in an order of influence from large to small. Compared with using the least square method to estimate the correlation coefficient between leakage current and the influencing factors

using GA can not only identify the functions connecting the factor

but also improve the accuracy of estimation. The simulation result shows that GA is effective and feasible to estimate leakage current. The research can be used as a reference for contamination degree estimation of insulators based on leakage current evaluation.

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