Aiming at the quality evaluation of electric energy meter in distribution station area, the improved grey clustering method is used to establish the operation quality evaluation method of electric energy meter. Firstly, the quality evaluation index system of watt hour meter is established, and the indexes are divided into criterion layer and index layer. Then, the fuzzy evaluation matrix is established, and the normalized correction coefficient is constructed based on the initial weight of each index layer factor through event correlation analysis, and the deviation between the recent data and the historical data variance is considered to further modify the weight coefficient. Finally, the whitening weight functions of different gray levels in the evaluation model are formulated, and the parameters in the whitening weight function are determined by Delphi method. Based on the steps of grey clustering method and fuzzy evaluation matrix, the state quantity of each index layer and the state quantity of criterion layer are calculated, and the quality evaluation results of electric energy meter are obtained. The simulation results show that the established model is suitable for the operation quality evaluation of electric energy meters in distribution stations, and provides guidance for the troubleshooting and maintenance planning of electric energy meters.