A distributed generator (Distributed Generator, DG) multi-objective optimization model was established to the distribution network. Minimum power loss cost, distributed power system operating costs and minimum active power loss minimum were taken as the objective functions for the power balance. More restrictions and other constraints, using a weighted linear multi-objective manner, were taken as a single target, and the use of quantum particle swarm optimization helped to achieve the above objectives. IEEE33 node system simulation results show that the optimization of the location and the capacity of DG can effectively reduce the economic costs of the system, improve the distribution network and optimize economic operation.