Research on On-line Monitoring Technology of Electric Energy Meter Error Based on High-Frequency Acquisition and Ridge Regression Least-Square Method

So as to reduce the waste of resources, environmental pollution and repeated construction caused by the regular rotation of smart meters, it is very necessary to research the online monitoring technology of electric energy meter error. This paper is based on Kirchhoff’s current law, takes the station area as the basic calculation unit, uses multi-metering period data to establish a linear equation set, and uses the ridge regression least-square method to solve the equation set to obtain the operating error of the electric energy meter. The simulation test results show that the error obtained by this method can be used as an important reference for the evaluation of the operation status of the electric energy meter, and it can provide effective support for the control of the line loss in the station area, the operation and maintenance of the electric energy meter and the accurate replacement, which can effectively reduce the number of on-site operation and maintenance and improve the failure analysis. Positioning accuracy.