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

Yihui Wang; Bin Ma; Wenjing Fan; Xi Li

doi:10.1117/12.2674038

6 April 2023 Measurement error correction method of electric power meter based on T distribution test

Yihui Wang, Bin Ma, Wenjing Fan, Xi Li

Proceedings Volume 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022); 1261517 (2023) https://doi.org/10.1117/12.2674038
Event: International Conference on Signal Processing and Communication Technology (SPCT 2022), 2022, Harbin, China

Abstract

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.

Citation Download Citation

Yihui Wang, Bin Ma, Wenjing Fan, and Xi Li "Measurement error correction method of electric power meter based on T distribution test", Proc. SPIE 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022), 1261517 (6 April 2023); https://doi.org/10.1117/12.2674038

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