Abstract: The urban power grid has a large scale and dense distribution of electricity load, and will cause significant economic losses in power outages. Its emergency power supply capacity needs improvement. Meanwhile, the number of electric vehicles(EVs) has been increasing, with enormous potential for emergency dispatch. Thus an optimization scheduling strategy for EVs is proposed for the gradual restoration of emergency power supply in urban distribution networks. Firstly, establish an EV trip-chain to predict the emergency response capabilities of various regions; secondly, calculate the shortest electrical distance between the charging station and loads by the Dijkstra algorithm, and combine power data to prioritize the restoration of power supply; finally, use the nutcracker optimization algorithm to obtain the result of minimizing the total economic cost and user inconvenience, achieving optimal scheduling that balances economic costs and user needs. The effectiveness of this method was verified through case analysis using the distribution network topology of residential and an office areas in Beijing.