In order to maximize the charging acceptance margin and minimize the fluctuation of wind and solar output, a dual uncertainty optimization model of hybrid AC/DC active distribution network acceptance margin is proposed when the connected power exceeds the distribution network acceptance margin. In order to obtain the dual uncertainty, take the maximization of electric vehicle charging acceptance margin and the minimization of wind and solar power output fluctuation as the goal, and take the node voltage, the wind and solar power output and acceptance margin as the constraints, the distribution network optimization model is built. The solution of optimization model through chaotic binary particle swarm optimization algorithm is introduced to obtain the optimal optimization results after iteration, so the dual uncertainty optimization of distribution network acceptance margin is achieved. The experimental results show that after optimization by this method, the average acceptance capacity of the distribution network increases from 1 200 kW to about 2 000 kW, and it is always within the highquality range of acceptance margin. After the uncertain power type is connected, the maximum voltage out of limit probability of all nodes is 2.7%, and the discarded energy generated by all nodes is kept below 6 MW·h. When all nodes are connected to wind and solar units at peak time, the maximum fluctuation value of wind and solar output is still lower than 3.5 kW·h. When the distribution network is in a harsh environment and the uncertain electric energy is connected daily, the active network loss of the distribution network is between 0.25 MW and 0.40 MW.