Given a background of "dual carbon", an integrated photovoltaic storage and charging station (IPSCS) can not only alleviate the impact of a large number of electric vehicles charging on the grid, but also can use new energy to reduce carbon dioxide emissions. It is gradually becoming a mainstream form of electric vehicle charging station. In order to reduce carbon emissions and obtain the optimal operating economy of the IPSCS while meeting load demand, a day-ahead operation strategy of the IPSCS considering carbon emissions is proposed. First, a scene generation is made in a data-model hybrid manner, and the improved kernel k-means algorithm is used to cluster historical data. This in turn generates photovoltaic power scenarios. The load scene is generated by a variational autoencoder. Then, a mathematical model of day-ahead economic operation strategy with the objective function of power purchase cost, carbon emission cost, and capacity electricity fee is established. Finally, based on the historical operating data of an IPSCS in the Beijing area, the results show that the IPSCS uses the above-mentioned day-earlier strategy to obtain higher benefits and verify the validity of the strategy. This work is supported by the National Natural Science Foundation of China (No. 51777126).