Reasonable planning of the active distribution network is an important part to improve the wind energy accommodation capability，however，the overuse of the wind power output and load timing characteristics increase the difficulty of model solving and have adverse effects on the optimal results. The Latin hypercube sampling （LHS）combined with the K-means clustering was employed to reduce the number of samples，thus a typical wind power and load multi-scenario model with higher calculation efficiency can be obtained. Considering the interests of wind power operators and the State Grid Corporation，a bi-level planning model of active distribution network considering the wind power timing characteristics was established. The upper level determines the wind power planning scheme with the goal of maximizing benefit of wind power operators，and the lower level optimizes the system operation state with the minimum loss of distribution network. The effectiveness verification of the planning mode was conducted based on the IEEE 33-bus distribution system. The results show that the loss cost of the distribution system is 260 400￥after planning based on the GA-PSO joint optimization algorithm，which is 5.03% and 0.77% lower than that of single GA algorithm and PSO algorithm respectively，and the scenario cost is reduced by 40 000￥compared to that of the results calculated by GA algorithm and PSO algorithm. Therefore，the validity of the planning model proposed was verified.