Abstract

The electric energy meter is a measuring device used to measure the user's power usage. The electric energy meter has obtained a large amount of electricity data. It is very necessary to carry out data analysis on the electric energy meter deviation based on the electric data. It is the medium and main evidence of the interest relationship between the power enterprise and the users. The metering deviation of the electric energy meter has an important impact on the economic and social benefits of the enterprise. Accurate energy metering is a problem that power management departments must pay attention to. The meter metering process needs to be strictly controlled and adjusted. This paper proposes an independent and identical distribution of energy meter deviation analysis method. Through long-term investigation of the operation status of the energy meter, sample data is extracted from the meter data of the station area. After normalization and clustering, the selection is satisfied. The same distributed sample data is used as the calculation condition, and the deviation of the electric energy meter of each user in the distribution area is calculated. This method greatly improves the deviation of the electric energy meter deviation calculation compared with the traditional method, which will provide accurate data support for diagnostics and analysis of the cause of the electric energy meter deviation.

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