Abstract: In recent years, the occurrence of blackouts triggered by extreme events has posed significant challenges to individuals' productivity and daily life. A differentiated resilient power supply service and its pricing method are introduced to address users' diverse post-disaster emergency power supply requirements. Initially, leveraging the integrated power grid-transportation network framework, a methodology is outlined to enhance the resilience of the distribution network by accounting for the planning and coordination of mobile energy storage systems (MESS). Subsequently, based on users' varied post-disaster power supply needs, the service pricing menu under various resilient power supply levels is designed. A Bi-level model is developed to align the delivery of resilient power supply services with user preferences. The upper-level distribution system operator (DSO) is responsible for offering tailored resilient power supply services and crafting a pricing structure. At the same time, the lower-level users select the optimal level of resilient power supply service based on cost and benefit considerations. Chaotic-simulated annealing particle swarm optimization (CSAPSO) and gurobi solver are used to find the equilibrium solution of the model iteratively. The analysis of the example shows that the proposed approach effectively balances the interests of both DSO and users, fulfills users' diverse post-disaster power supply requirements, and leads to a mutually beneficial outcome.