基于概率分布的农电管理线损异常诊断技术

Abnormal Diagnosis Technology of Rural Power Management Line Loss Based on Probability Distribution

针对农电管理线损异常经常出现漏检问题,开展基于概率分布的农电管理线损异常诊断技术研究。建立农电管理线损变量和函数,分析线损异常变量采集数据,采用线损异常条件预测误差估计方法,诊断农电管理中的线损异常。实验结果表明,概率分布数据挖掘方法统计线损率的漏检率更低,结果更加准确。

In view of the frequent missed detection of rural power management line loss anomalies,the research on rural power management line loss anomaly diagnosis technology based on probability distribution is carried out.The line loss variables and functions of rural power management are established,the abnormal line loss variables are analyzed,the data are collected,and the prediction error estimation method of abnormal line loss conditions is used to diagnose the abnormal line loss in rural power management.The experimental results show that the probability distribution data mining method has lower missed detection rate and more accurate results.