Measurement Accuracy Analysis and Calibration Algorithm of Automatic Verification System for Electric Power Metering Equipment
In order to improve the algorithm of double meter difference measurement for small load distributed two-way electric power metering users,the fuzzy neural network algorithm is used to form multi-column neural network for the data of double meters,and the correction values of double meters are output respectively.The weighted accumulation of the correction values is used as the core algorithm to solve the fuzzy calculation,and finally the results after the correction are output.The simula-tion results show that the error control ability of the improved difference algorithm is 10 times higher than that of the direct difference algorithm,and the computing resources running the algorithm can be put into the meter box through the conventional embedded system.After rechecking the results of electricity tariff measurement of existing users in 2020 and interviewing all users,it is found that the subjective evaluation of users on electricity tariff measurement has increased by 17.4 percentage points.It is concluded that the improvement measures adopted by the automatic verification system of electric energy metering equipment is applicable to the current two-way power supply measurement demand,can be used to check and reduce the calibra-tion measures of contact resistance,and has certain engineering feasibility.
improved difference algorithmintelligent meterelectric energy measurementfuzzy neural networkerror control
万方数据
维普
