基于气象参数统计的绝缘子污秽度评估方法  

Evaluation Method of Insulator Contamination Based on Meteorological Parameter Statistics

作　　者：吴大伟[1,2] 陶汉涛 张磊[2] 姜志博[2] 钟俊文[2,3] 

机构地区：[1]南瑞集团公司(国网电力科学研究院),南京211106 [2]国网电力科学研究院武汉南瑞有限责任公司,武汉430074 [3]河海大学能源与电气学院,南京210000

出　　处：《电瓷避雷器》2017年第4期194-198,共5页Insulators and Surge Arresters

摘　　要：绝缘子污秽度是线路运行维护人员制定防污闪方案的重要基础数据,一直存在停电测量困难、在线监测不便等现状。提出了一种基于气象参数统计的绝缘子污秽度评估方法,以历史的气象参数月统计值以及对应月末绝缘子表面的等值盐密、等值灰密为输入参数,采用BP神经网络实现指定气象条件下绝缘子污秽度变化量的预测,在初始污秽度已知的前提下,可实现后续月末绝缘子污秽度的评估。选用某条220 k V输电线路进行算例分析,评估出的等值盐密、等值灰密平均值与实测值平均偏差16%左右。结果表明,该方法可在已有的数据基础上实现绝缘子污秽度评估,对于输电线路的防污闪工作具有一定的指导作用。The contamination degree of insulator is an important basic data for line operations staffs to formulate the anti-pollution flashover scheme. But it is measured with difficulty in cutting off the power, and there are many inconveniences in its on-line monitoring. Therefore, a method based on the statistics of meteorological parameters is proposed, in which history meteorological parameters counted by month and the equivalent salt deposit density （ESDD）, no soluble deposit density （NSDD） at the end of the month are taken as input. Then the prediction of contamination degree change under specified meteorological conditions can be achieved by using BP neural network. On this basis, the contamination degree of insulator at the end of next month can be estimated when the previous contamination degree is known. An example of 220 kV transmission line is taken to analyze, and average deviation of the estimated equivalent salt deposit density （ESDD） or no soluble deposit density （NSDD）with the measured value is about 16%. The results show that the contamination assessment of insulator can be realized on the basis of the existing data by this method, which can be applied to guide anti-pollution flashover project of transmission lines.

关 键 词：气象参数 绝缘子 污秽度评估 BP神经网络 

分 类 号：TM216[一般工业技术—材料科学与工程] TM75[电气工程—电工理论与新技术]