Abstract:In recent years，the peak-valley difference of urban power is increasing，and it is difficult to maintain the real-time balance of power system only by the power generation side resources. As a typical flexible load，electric vehicle-charging pile load can use network information technology，means of big data analysis and market mechanism to gather the dispatchable load resources of electric vehicles in the region to participate in demand response. From the perspective of load aggregators，this paper proposes a modeling method based on random selection of EVs influencing factors and calculation of EVs cluster load according to probability density，and formulates optimal adjustment strategies to aggregate EVs to participate in the demand response market，so as to reduce the power peak within the region and reduce the charging cost of participating users. In the future， under the background of electricity marketization，the use of a large number of micro-load resources on the demand side to aggregate response will become an important tool to ensure the effective allocation of resources，which has practical significance.