To address the problems of large computation and communication in the economic scheduling of multi-distributed power supplies and the difficulty of overall optimization, an economic scheduling method of distributed power supplies based on the supernode cooperative ADMM algorithm is proposed. First, the supernode selection and local set partitioning are performed on the basis of the original communication topology diagram of the distributed power network, with supernodes solving decision variables in parallel and ordinary nodes in the local set only communicating with supernodes; second, the standard ADMM algorithm is improved so that each node searches for the optimal solution of its subproblem in parallel; in a distributed power grid containing multiple renewable energy sources, the operation cost minimization optimization The proposed method is used to solve the large-scale optimization model in a distributed grid with multiple renewable energy sources. Finally, the proposed algorithm is verified to accelerate the convergence speed of iterative optimization search through simulation cases, which can effectively improve the convergence speed of distributed power cooperative consistency.