Taking the source-network-charge-storage integrated energy system as the research object, the influence of the dual uncertainties of source-side wind-power output and load prediction error on the optimal configuration of the system was considered. In order to improve the stability and economy of the system, aiming at the minimum total cost, the research strategy of time-of-use electricity price in price demand response was adopted. Firstly, fuzzy clustering method was used to divide user load into time periods, and then opportunity constraint was used to transform source-load uncertainty into certainty. Then, system optimization allocation model was built for the integrated energy system with supply-demand balance and equipment constraint. Finally, numerical simulation was carried out for different scenarios. Simulation results show that the proposed pricing mechanism has the effect of peak cutting and valley filling, and the optimal configurations in different scenarios are significantly different, which verifies the effectiveness of the proposed method.