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%.

研究了大功率动态负载条件下智能电表的动态误差评估问题。建立了动态​​测试信号的通用模型，并给出了两种形式的测试信号。然后将测试信号的两个模型进行分解以获得动态本征信号的先验信息，然后构建压缩传感（CS）测量矩阵。推导了动态测试信号的CS间接测量模型，以准确地测量动态电能的值。基于CS间接测量模型，提出了一种新的间接测量智能电表动态误差的方法，并给出了一种智能电能表动态误差的测试系统。最后，