The energy crisis caused by the shortage of traditional energy reserves makes distributed energy share higher and higher in the energy network. The highly efficient and environmentally friendly distributed energy supply chain has laid the foundation for energy Internet plus intelligent energy, and has solved the distributed block allocation problem on the supply side of distributed energy supply chain. Taking the economic and environmental problems of each distributed module in the distributed energy supply chain as the objective function, relevant models were establishes creatively. The distributed wind energy, distributed solar energy and distributed natural gas modules were analyzed, and the optimal allocation of the supply side of the distributed energy supply chain was studied. The PSO algorithm was improved by combining with simulated annealing algorithm to form an improved PSO algorithm. Compared with the standard PSO algorithm, the improved algorithm was used to solve the model. The feasibility of the model, the superiority of the algorithm and the effective solution of the distributed energy supply chain configuration problem were verified through the analysis of an example.