A measurement error correction method for intelligent energy meters based on adaptive weighted FAHP

In order to improve the accuracy and reliability of electricity meter measurement, ensure the stable operation of the power system and the economic interests of users, a smart electricity meter measurement error correction method based on adaptive weight FAHP is proposed. Construct a measurement error correction index system for smart energy meters, use comparative analysis methods to quantify and process fuzzy comprehensive evaluation indicators, determine the weight of evaluation indicators based on AHP algorithm, apply membership function method to calculate the membership degree of evaluation indicators, obtain a set of fuzzy comprehensive evaluation indicator membership degrees, and calculate the measurement error correction results of smart energy meters through fuzzy comprehensive method. The experimental results show that this method maintains high accuracy while reducing calibration time, providing strong support for the stable operation of the power system and the economic benefits of users.