Abstract: The acceptance capacity of electric vehicles(EVs) differs in different charging areas or when different charging control strategies are adopted. This paper presents a quantitative assessment method for EV acceptance in distribution networks under multiple scenarios. The Monte Carlo method was used to simulate the charging behavior of EVs in residential areas, work areas, and commercial areas, and a charging model for EVs was established. The maximum acceptance capacity of EVs in different regions was evaluated from transformer load ratios and node voltage deviations. Based on this, an optimized scheduling strategy was developed to evaluate its corresponding acceptance capacity and compared with random charge method. Finally, a local distribution network is taken as an example for analysis. The results show that there are differences in the acceptability of different regions. At the same time, adopting an optimized charging strategy can significantly improve the acceptance of EVs.