Abstract: By considering the diverse power supply demand of electricity user and the stochastic characteristics of the DG power output, a multi-objective joint planning method for user demand-oriented DG and distribution network framework is presented. To meet the diverse demand for voltage quality and reliability of power supply, the load demand is classified. According to the probability model of renewable energy DG power output and chance-constrained programming method, the uncertainty problem is solved. With the comprehensive optimization of annual society cost, voltage deviation degree and power user outage loss as objective function, the multi-objective joint planning model for DG and network frame is built. Based on pareto optimization theory, the model is solved by using TOPSIS multiple-attribute decision-making strategy that combines the multi-objective hybrid particle swarm optimization algorithm with the AHP and entropy weight modified method. In the end, the rationality and validity of the proposed model is verified by numerical calculation example.