In the context of the high proportion of Distributed Generation (DG) integrates into the distribution network, rational planning of the location and capacity of DG connects to the distribution network to improve the rate of DG consumption has become an important research direction. Taking wind power as the research object, a typical scenario was constructed considering the timing of fan output and load. Considering the interests of DG operators and distribution companies, a bi-level coordinated planning model of DG planning and distribution system joint optimization was established. The DG allocation scheme was determined by maximizing annual revenue of DG operator at the upper layer. The system operation condition was optimized by minimizing the loss of distribution network at the lower level. Finally, based on the IEEE 33-node example, the hybrid optimization algorithm combining genetic algorithm and particle swarm optimization algorithm is proposed to solve the upper model, and the second-order cone programming is proposed to solve the lower model. The simulation results verify the validity of the proposed method.