Distributed generation, energy storage, flexible load and other distributed resources are numerous and scattered, making it difficult to be directly scheduled by the power grid. Resource aggregators can execute power grid scheduling instructions by integrating various distributed resources internally. Based on the resource aggregator operation mode, a joint scheduling model for direct scheduling of large-capacity resources and indirect scheduling of electricity price response of small-capacity resources is constructed. On this basis, the resource aggregator's profit is the maximum scheduling goal, and the scheduling performance difference of large-capacity resources is evaluated by rolling online, and the dynamic integrated scheduling priority is set. In view of the uncertainty of indirect scheduling of small capacity resources, an opportunistic scheduling constraint with fuzzy parameters is proposed. The improved particle swarm optimization algorithm is applied to clarify the fuzzy chance constraints and solve the scheduling model. Combining with IEEE33 node distribution network, the validity and scientific nature of the proposed model and algorithm are verified. This work is supported by National Natural Science Foundation of China (No. 51707089), Science and Technology Project of the Headquarter of State Grid Corporation of China (No. 5210EF17001C), and State Grid Jiangsu Electric Power Co., Ltd.