Abstract: The medium and low voltage honeycomb shaped active distribution network is composed of microgrid groups that are flexibly interconnected through base stations, aiming to address the issues of power interconnection and coordinated operation between microgrid groups and base stations. This article proposes a distributed optimization scheduling strategy based on the model predictive control(MPC) algorithm and combined with the synchronous alternating direction method of multipliers(ADMM), effectively solving the coordinated operation problem of honeycomb active distribution networks and reducing system operating costs. Firstly, a honeycomb shaped active distribution network model is constructed with the goal of minimizing system operating costs. Then, the MPC algorithm is used to achieve rolling optimization scheduling, and the synchronous ADMM algorithm is used to optimize and solve for each optimization time. Finally, the effectiveness of the proposed strategy is analyzed through numerical examples.