According to the large-scale use of electric vehicles in the commercial field of China, this paper proposes an orderly charging and discharging scheduling strategy suitable for commercial electric vehicle groups to increase the income of commercial electric vehicle group owners. This strategy uses the aggregator to act as a bridge between electric vehicles and the grid, rationally schedules the charging time of electric vehicle groups and the number of charging vehicles, and participates in real-time transactions in the electricity market. First of all, in the case of satisfying the safety of the power system, a model that takes into account the income of electricity trading and vehicle operation is established, and is optimized through the multi-attribute utility theory. Then the genetic algorithm is used to minimize the multi-attribute utility function and daily scheduling of electric vehicles. Finally, based on a small-scale commercial electric vehicle group, a simulation example is carried out, and the load comparison analysis of orderly charging and disorderly charging are carried out in a medium-scale commercial electric vehicle group. The results show that this strategy has certain economic benefits under the premise of ensuring the safety of the power grid, and can play a role in peak shaving and valley filling.