With the transformation of economic development from extensive growth to intensive growth, the optimization of distribution network energy storage has become a forward-looking research in the academic community, which is of great significance to the accelerated development of China. In this study, using particle swarm optimization algorithm and the mathematical method of double-layer and multi-objective optimization configuration, a research model of high-quality optimization of distribution network energy storage based on particle swarm optimization algorithm is constructed. Based on the calculation of probability power flow of active distribution network, the model achieves the effect of improving the operation efficiency of Guangyi power supply, so as to carry out distribution network management with generalized power supply for relevant personnel The method reference is provided. The PG & e-69 node distribution system is taken as the research object to verify the model. The results show that the type of intelligent algorithm has little influence on the optimal configuration of generalized power supply. At the same time, compared with the upper model, the lower model is more efficient for the optimal allocation of generalized power supply. Therefore, to achieve the efficient operation of generalized power supply and improve the energy storage effect of distribution network, it is necessary to realize the reasonable use of the double-layer model. This study can provide some guidance value for the research of energy storage quality of distribution network.