As the peak load of electricity in China continues to rise, the importance of household load participation in demand response is increasing. Aiming at the lack of common interoperability standards for household appliances and the difficulty in interacting with the grid load, a double-layer game method based on clustering results is used to conduct the aggregate test of household appliance loads. After the household appliance loads is clustered by the clustering method based on fuzzy C-means, the application scenarios of automatic control of residents’environment and temperature, smart kitchen, smart residents’home theater, remote control of smart appliances and so on are established. According to the requirements of grid demand response, the optimal energy consumption strategy of residential household appliances is solved through the energy game on the lower game model. Based on the application scenarios of residential household appliance loads established after clustering, the optimal household appliance interoperability test method is solved through the aggregate value demand game on the upper game model. The calculation example has been applied in a certain urban community, and the test accuracy rate is 97.2%.The application results show that the method improves the interoperability of household appliance loads and the interaction level between household appliances and power grid loads.