Abstract: Large-scale integration of distributed energy sources into the distribution network increases the difficulty of operation control. The traditional global centralized optimization control method lacks flexibility and entails higher costs. Distributed optimization for small-scale clusters offers a flexible alternative. Building upon the concept of cluster partition control, this study combines the community detection approach with the traditional clustering algorithm and proposes a Louvain-Kmedodis cluster division method for distributed networks. On this basis, taking the lowest operating cost of the distribution network as the objective function, a multi-cluster distributed optimal scheduling model is developed. The interaction power is solved using the synchronous alternating direction method of multiplier (SADMM). Finally, taking the improved IEEE 33-bus system as an instance, the results demonstrate that the proposed strategy is capable of effectively dealing with the challenge of distribution network cluster division in the context of high penetration of distributed sources. Additionally, the SADMM distributed control mode demonstrates a satisfactory optimization effect on the economic scheduling problem of multi-cluster collaborative operation in distribution networks, yielding results that are closely comparable to those under the global control mode.