Automatic Control System for Error of Electric Energy Measurement Trans-formers Based on Big Data Mining
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 trans-former voltage and current signals collected by voltage transformer and current transformer,through the automatic er-ror 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 ab-normal transformer,the dynamic automatic error compensation device is used to calculate the electric energy measure-ment error of the abnormal transformer,dynamically compensate the impedance coefficient,adjust the measurement er-ror,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.
big data miningelectricity meteringtransformererror automation controlK-means clusteringdynamic compensation
NETL
NSTL
万方数据
