Error Correction Method for Smart Energy Meter Field Calibration System under Non-standard Conditions

Hengyu, Tan; Hu, Yao; Huang, Yan; Huanning, Wang; Zhao, Zhihua; Yuan, Liu

doi:10.1109/icsgsc50906.2020.9248566

Cited by 2 publications

(1 citation statement)

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“…With the continuous increase of industrial investment in China's power industry and the innovation and development of related technologies, power supply enterprises in various provinces and cities in China have also carried out the replacement of smart meters for the power systems in their respective service areas, which is to achieve the goal of "full coverage, full acquisition, and full cost control" [1]. With the development of this trend, the power industry is bound to usher in the outbreak of the demand for smart meter verification.…”

Section: Introductionmentioning

confidence: 99%

Measurement error correction method of electric power meter based on T distribution test

Wang¹,

Ma²,

Fan³

et al. 2023

International Conference on Signal Processing and Communication Technology (SPCT 2022)

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With the automatic verification of intelligent power meters, manpower is saved and the verification efficiency is improved. However, the large-scale automatic verification method can not meet the parameter ratio specified in the verification regulation because the verification environment is difficult to control. The environmental factors in the verification are difficult to be accurately controlled, which leads to inaccurate verification results. There are a large number of watt-hour meters in the process of centralized verification. If the verification results are not accurate, it will lead to unnecessary economic losses. In this paper, a T distribution test model is established to consider the influence of the heat of the external shunt and the internal power chip on the temperature of the metering chip in different environments. According to the error fitting curve corresponding to the chip, the measurement error of the DC energy meter in different environments is obtained. The formula is imported into MATLAB for simulation analysis to study the factors affecting the accuracy of the metering algorithm. The error formula and influencing factors are derived when the effective value method is adopted in fast charging mode, and the simulation analysis is carried out.

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Section: Introductionmentioning

confidence: 99%