Comprehensive electric energy meter verification method and system based on improved least square method

Abstract

The invention discloses a comprehensive electric energy meter verification method and system based on an improved least square method. The method comprises the steps: generating a scatter diagram of original data, deleting an abnormal value, and obtaining sample data; carrying out Pearson correlation analysis and VIF inspection on independent variables in the sample data; determining a multi-colinearity existence range between the independent variables; checking the multiple collinearity by fitting a sample error average regression line and a median regression line; performing multivariate regression analysis according to an inspection result, and preliminarily determining a regression equation; checking the credibility of the regression equation, and determining a data regression model; correcting the data regression model through residual analysis; and normalizing the weight of each variable, calculating an influence weight of each variable on the error, and substituting the influence weight into the data regression model to carry out comprehensive verification on the electric energy meter. According to the invention, whether the metering error of the electric energy metering device exceeds a standard specified range can be effectively verified, and the reliability and stability of the electric energy metering device are ensured.

Description

technical field [0001] The invention relates to a comprehensive verification method and system for an electric energy meter based on an improved least square method, and belongs to the technical field of electric energy measurement. Background technique [0002] The popularization and application of the automatic verification assembly line of smart electric energy meters has greatly improved the production management level of electric power enterprises. Whether the measurement error is beyond the scope of the standard and the reliability and stability of the smart meter measurement are issues that both sides of the electric energy transaction pay close attention to. The original data collected by smart meters has the characteristics of large data volume, high collection frequency, and data diversification. This requires monitoring and control of metering points, providing real-time and accurate basic data, and accurate analysis of data errors. Therefore, establishing a rela...

AI Technical Summary

Problems solved by technology

When analyzing the errors of smart energy meters in the existing research, most of them have not tested the multicollinearity among the independent variables, and the existence of multicollinearity will make the regression coefficient poor in stability and precision, resulting in poor interpretability of the regression model. powerful

Some regression models have not been carefully analyzed and improved after the establishment of the model, or the weight calculation of the independent variables has been ignored, and the weights of the respective variables are mostly determined through historical practice and expert experience.

Images