Distributed power access to the distribution network acceleration, if you can not deal with the relationship between grid operation, grid current balance, energy storage, and other constraints, will significantly reduce the efficiency of grid operation. In this paper, we first model photovoltaic power generation and wind power generation among distributed power sources and summarize the decision-making objectives and constraints according to the impact of distributed power sources on the distribution network voltage, network loss, and other aspects. The traditional particle swarm algorithm is improved and used to construct an optimization model for a distributed power access scheme with active management. Then, the model is compared with the traditional particle swarm algorithm and the NSGA algorithm to verify the effectiveness of the improvement. It is found that the improved PSO algorithms GD and SP in this paper are 0.0042 and 0.0192 in the ZDT1 function test, which is lower than 0.0139 and 0.0652 of NSGA and much lower than 0.0863 and 0.3992 of the basic PSO. In the arithmetic calculations of the model designed in this paper, the DG operation, network loss, power purchase, sewage, and cost are respectively 1,527,100 yuan, 159,800 yuan, 4,792,500 yuan, and 168,300 yuan, totaling 6,647,700,000 yuan, which is much lower in cost than the non-actively managed, non-installed distributed power model. This study provides new ideas and methods for the multi-objective optimization problem of high penetration rate distributed power supply access to distribution networks.