电压异常数据挖掘及智能分析系统研发与应用

Development and Application of Anomaly Voltage Data Mining and Intelligent Analysis System

以提升地区电网电压合格率为目标,对电压各类异常情况下电压、电流、告警信号等一二次运行数据特征进行分析提炼,形成电压异常辨识标准,在此基础上,分析了电压异常时从大量电网一二次运行数据中按需、有目标性调取有效信息的方法,并基于电压异常辨识标准和按需获取有效信息,形成智能分析结果,最后给出了电压异常数据挖掘及智能分析系统的体系架构。

To improve the voltage qualification rate of regional power grid,the primary and secondary operation data characteristics such as voltage,current and alarm signal under various abnormal voltage conditions were analyzed and refined to form the voltage anomaly identification standard.On this basis,the method to obtain effective information was analyzed from many primary and secondary operation data when voltage was abnormal.Based on the voltage abnormality identification standard and obtaining effective information on demand,the intelligent analysis result was formed,and finally the system architecture of the voltage abnormal data mining and intelligent analysis system was given.