基于大数据挖掘的电能计量互感器误差自动化控制系统  

Automatic Control System for Error of Electric Energy Measurement Transformers Based on Big Data Mining

作　　者：赵小凡 杜舒明 刘超 ZHAO Xiaofan;DU Shuming;LIU Chao(Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Guangzhou 510610,China)

机构地区：[1]广东电网有限责任公司广州供电局,广州510610

出　　处：《自动化与仪表》2024年第3期151-154,164,共5页Automation & Instrumentation

摘　　要：为确保电能计量互感器计量工作的顺利开展,该文设计基于大数据挖掘的电能计量互感器误差自动化控制系统。系统在Spark运算引擎优越的数据计算功能协助下,基于电压互感器、电流互感器采集的电能计量互感器电压信号、电流信号,通过误差自动化校核模块的基于大数据挖掘的电能计量异常诊断方法,利用K-means聚类分类的方式,以互感器电压信号、电流信号诊断的方式,识别异常互感器;针对异常互感器,由误差动态自动化补偿装置,计算异常互感器的电能计量误差值,动态自动化补偿阻抗系数,调节计量误差,完成电能计量互感器误差自动化控制。经测试,该系统具备电能计量互感器误差自动化诊断与控制能力。The automatic error control system of electric energy measuring transformer based on big data mining is designed to ensure the smooth development of electric energy measuring transformer.With the help of the superior data calculation function of Spark computing engine,the system based on the voltage transformer and current transformer voltage and current signals collected by voltage transformer and current transformer,through the automatic error check module based on big data mining electrical energy measurement anomaly diagnosis method,using K-means clustering classification method,identify abnormal transformers by diagnosing voltage and current signals.For the abnormal transformer,the dynamic automatic error compensation device is used to calculate the electric energy measurement error of the abnormal transformer,dynamically compensate the impedance coefficient,adjust the measurement error,and complete the automatic error control of the electric energy measurement transformer.The test shows that this system has the ability of automatic diagnosis and control of error of electric energy measuring transformer.

关 键 词：大数据挖掘 电能计量 互感器 误差自动化控制 K-MEANS聚类 动态补偿 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TM451[自动化与计算机技术—控制科学与工程]