Abstract: With the gradual development of the national smart grid, it is necessary to enter distributed clean power sources with various characteristics, such as wind power and solar energy. Traditional centralized control is difficult to meet the requirements of smart grids for safe, stable, and efficient operation. Aiming at the constrained power allocation problem widely studied in smart grid, based on the cooperative control algorithm of continuous multi-agent system, this paper designed a distributed optimization allocation strategy, which is free by the initial state. The proposed distributed algorithm implements parameterization by adding auxiliary variables. In the iterative process, the algorithm only needs to know the state of the distributed power supply of the neighbor, and finally solve the global optimal solution of the system. The experiments prove that the proposed algorithm can effectively solve the economic dispatch problem. Moreover, compared to the existing algorithm, the proposed algorithm achieves faster optimal solution.