Environmental Impact Analysis and Error Correction Method of Smart Meter On-site Verification

被引：0

作者：

Wang, Huanning ^{[1
]}

Zhao, Zhihua ^{[1
]}

Huang, Yan ^{[1
]}

Yao, Hejun ^{[1
]}

Liu, Yuan ^{[1
]}

Gai, Xugang ^{[1
]}

Tan, Hengyu ^{[1
]}

机构：

[1] Beijing Inst Metrol, Beijing, Peoples R China

来源：

2020 THE 4TH INTERNATIONAL CONFERENCE ON SMART GRID AND SMART CITIES (ICSGSC 2020) | 2020年

关键词：

smart meter; environmental impact; uncertainty analysis; on-site verification;

D O I：

10.1109/icsgsc50906.2020.9248560

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The verification of smart meters is generally performed in a laboratory environment, which has strict requirements on environmental conditions and power quality of the power source. However, in the case of resolving power tariff disputes between power operators and consumers, or performing online metering performance evaluation of smart meters, it is necessary to verify smart meters on site. During on-site verification, environmental factors such as temperature and humidity, electromagnetic interference, and power quality factors such as frequency, harmonics, and power factor will affect the energy error of smart meters. This paper analyzes and determines the main influencing factors of on-site verification, and the proposed on-site verification plan is given.

引用

页码：124 / 128

页数：5

共 7 条

[1] [Anonymous], 124532010 JJF
[2] [Anonymous], 1454993 GBT
[3] Calkins H, 2017, J ARRYTHM, V33, P369, DOI 10.1016/j.joa.2017.08.001
[4] Chang-Rui W, 2009, ELECT MEASUREMENT IN
[5] Gong You, 2017, ERROR MODEL SMART ME
[6] Lei Dong, 2013, METROLOGY MEASUREMEN, V040, P63
[7] A MATLAB toolbox for class modeling using one-class partial least squares (OCPLS) classifiers
Xu, Lu
Goodarzi, Mohammad
Shi, Wei
Cai, Chen-Bo
Jiang, Jian-Hui
[J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2014, 139 : 58 - 63

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