Remote estimation of smart meter operation error considering error fluctuation and nonlinear dynamic line loss

Aiming at the problems of high cost, low efficiency, poor accuracy, and incomplete coverage existing in the on-site calibration operation mode of smart electricity meters, a remote estimation method of operation error of smart electricity meters was proposed by analyzing the big data under the advanced measurement system, which took into account the error fluctuation and nonlinear dynamic line loss. Firstly, the fluctuation of smart meter error was analyzed, and the remote estimation model of smart meter operation error was established by screening the electricity quantity data with similar operation states to reduce the influence of error fluctuation in the subsequent model solving. Secondly, the traditional line loss estimation method is improved, and a nonlinear dynamic line loss model is proposed to make the line loss change nonlinearly with the actual power supply so that the error estimate in the model is closer to the actual value. The results show that the proposed method effectively improves the accuracy of the operation error estimation results of smart electricity meters, helps to detect abnormal measurement points timely and accurately, and provides support for the efficient operation and maintenance of smart power grids.