Estimation of Smart Meters Errors Using Meter Reading Data

被引：0
|
作者：
Liu Fangxing [1 ,2 ]
He Qing [1 ]
Hu Shiyan [1 ]
Wang Lei [1 ]
Jia Zhengsen [1 ]
机构：
[1] Natl Inst Metrol, Beijing, Peoples R China
[2] Harbin Inst Technol, Harbin, Heilongjiang, Peoples R China
来源：
2018 CONFERENCE ON PRECISION ELECTROMAGNETIC MEASUREMENTS (CPEM 2018) | 2018年
基金：
国家重点研发计划;
关键词：
Smart meter error; clustering; regularization; tree topology grid; data analysis;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper describes a method of online smart meter error calibration using meter reading data. An approach of data analysis using sum meter reading and branch meter reading in tree topology grid is studied. An algorithm based on the combination of K-means clustering and regularization theory is proposed to evaluate the smart meter error. The results of simulations based on real energy consumption data indicate the performance of the method.
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页数：2
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