Abstract: In the market environment, micro-energy grid aggregators can adjust the power purchased from and sold to the distribution network by adjusting the energy equipment output of internal micro-energy grid to obtain the shaping compensation. In view of the high cost of current distribution network planning, the need to improve the utilization rate of equipment assets, and the failure to fully tap the power regulation potential of micro-energy grid aggregators, a line selection and planning method for the distribution network considering the load curve shaping is proposed. Considering the internal source-load uncertainty of microenergy grid aggregators and load rate and peak-valley difference rate constraints of the distribution network, a shaping potential evaluation method for micro-energy grid aggregators and a shaping demand calculation method for the distribution network are proposed. On this basis, a bi-level model of distribution network optimization planning considering the aggregation and shaping of micro-energy grid is established. The upper-level model aims at the optimal comprehensive benefit of the distribution network and micro-energy grid aggregators, and the lower-level model aims at the lowest adjustment cost of the micro-energy grid aggregators to achieve the best social benefit and the optimal distribution of shaping power. The upper-level and lower-level models adopt the genetic algorithm with reserved elitism and the branch and bound method, respectively, and are solved by using the commercial software CPLEX. The simulation results of a case show that the proposed method can improve the asset utilization and the economy of the planning scheme.