Abstract: Smart energy meter is the core metering terminal in smart grid, and the stability of its performance is determined by the performance of its internal core components. However, the current option methods for core components are based on subjective experience selection, and the selection results lack objectivity. Therefore, this paper proposes a technique for order preference by similarity to ideal solution selection method based on the combination weighting of criteria importance though intercrieria correlation (CRITIC)and coefficient of variation (CoV) method, which reduces the influence of the CRITIC method on the comparative strength of indicators by introducing the CoV method to represent the comparative strength of indicators, and improves the objectivity and accuracy of the selection results. At the same time, considering the functional attributes of the three core components of the smart energy meter metering module, namely, high-precision analog-to-digital converter, high-speed microcontroller unit processor and voltage reference chip, corresponding functional selection indexes are proposed. By comparing with the results based on the electrical parameter test, the feasibility of the proposed method and indexes applied to the selection of core components for smart energy meter metering module is proved.

Key words: smart energy meter, core component selection, CRITIC method, coefficient of variation method, TOPSIS