An estimation method of smart meter errors based on DREM and DRLS

Remote estimation of smart meter errors based on measurement data analysis from the user smart meter comes into focus because field calibration has high maintenance cost and difficult to analyze in time. In this paper, a remote estimation method of smart meter errors based on Dimension Reduction Estimation Model (DREM) and Damped Recursion Least Squares (DRLS) is proposed, in which DREM deals with the insolvability of actual model, and DRLS algorithm improves the stability and accuracy of estimation. To verify the effectiveness and practicality the method proposed is applied in both laboratory and actual distribution feeder unit. The results show that the proposed method did not need to calculate the network loss independently in advance, and it can estimate the smart meter errors and network loss rate in real-time. Finally, the important parameters involved in the model and algorithm are discussed, and the advice of parameter selection is proposed. •Dimension Reduction Estimation Model of smart meter errors is proposed.•The proposed method manages with the insolvability of actual smart meters errors model.•Damped Recursion Least Squares is applied to solve the model.•The applied algorithm improves the stability, robustness and accuracy of estimation.•The parameter selection recommendations are proposed.