Error Estimation of Smart Meters Based on Dynamic Line-loss and Singular Value Decomposition
Using remote data analysis to evaluate and detect anomalies of smart meters is cheaper and more efficient than traditional on-site calibration,which has received wide attention in power industry.This paper proposes an online method for error estimation of smart meters based on dynamic line loss estimation and singular value decomposition.First considering the influence of load types on line loss estimation,an estimation error solution equation is established.Then the equation is solved by combining the regularization method based on truncated singular value decomposition to obtain the error estimation result of smart meter.Finally simulation and actual data are used for verification,and the results show that compared with other methods,the proposed method can solve ill-posed problems with higher accuracy.
dynamic line-losssingular value decompositionsmart metererror estimation
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