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The harmonics generated by a large number of power electronic equipment in the power grid will seriously affect the measurement accuracy of electric energy measuring instruments. Therefore, in order to determine the anti-harmonic interference performance of electric energy meters, harmonic influence tests are required in the national standards of electric energy meters and the type evaluation outline. As the main standard device used in the harmonic impact test of the electric energy meter, the reference meter has passed the measurement verification, but its verification items do not include the detection of the harmonic measurement performance. In order to ensure the validity of the harmonic impact test of the electric energy meter, it is necessary to test the harmonic measurement performance of the reference meter. This paper designs a set of measurement and detection schemes that uses power comparison method to trace the source of harmonics of reference meters. It has important reference value for improving the accuracy of harmonic measurement and the reliability of electric energy meter type test.

Electric energy is an important source of indispensable for economic-social development and human survival. In order to improve the utilization efficiency of electric energy, more advanced electric energy measurement technology is needed. The main method of electric energy measurement is to measure electric energy through smart meters. This paper uses the overall measurement performance risk assessment method and the dynamic analysis method of in-service smart meters to evaluate the entire system of potential error drift risk of smart meters. It has realized the risk rating for the initial installation of the smart meter, the inaccuracy screening of the smart meter in use, and further provided the full life cycle monitoring program of the smart meter. The research results can accurately realize the remote risk screening and monitoring of the smart meters in full life cycle, save a lot of manpower and material resources, and provide a new path for energy supervision.

Smart energy meters have been widely used in the smart grid of various countries, but the current measurement methods of smart energy meters can not solve the traceability problem under the actual load current and power factor in the process of use, which leads to the inaccuracy of only meters in the field environment, and there is an unknown measurement risk. In order to achieve the accurate on-site verification of smart energy meters in normal working conditions, this paper studies the accuracy of smart energy meter field calibration standard device under different current and power factors, develops the error correction method under non-standard conditions. The correction method adopts the method of establishing reference standard value arrays under non-standard conditions to achieve fast and accurate on-site verification and effective measurement performance evaluation of the smart energy meters in use, to explore the measurement work for on-site calibration of smart energy meters under current and power factor in the actual environment.

Smart electricity meter are the data bases of monitoring, auditing, counting and analyzing of energy [1]. At present, there are almost 400 million smart meters installed in China, although the meters put into use are qualified, the risk of error drift is still exist in the process of using, which will cause energy monitoring and statistical errors. Based on a large amount of first-check error data of the meters, we proposed a simple and effective method to analyze and evaluate the risk of error drift in the process of using.