LAUSR

Abstract The problem of dynamic error evaluation for smart energy meter under the condition of large power dynamic load is investigated. A general model of dynamic test signal is established and two forms of the test signal are given. Then two models of the test signal are decomposed to obtain the prior information of the dynamic intrinsic signal, and the Compressed Sensing (CS) measurement matrix is constructed. The CS indirect measurement model of the dynamic test signal is deduced to accurately measure the value of the dynamic electrical energy. Based on the CS indirect measurement model, a new indirect measuring method for evaluating dynamic error of smart energy meter is proposed, and meanwhile a testing system of smart energy meter for evaluating dynamic error is given. Finally, experiment results and uncertainty analysis show that the CS indirect measurement method can be used to test the dynamic error of the smart energy meter under different signal conditions and the measurement uncertainty (k = 2) is better than 0.05%.