[Objective] Aiming at the coordination and optimization problem between operation economy and user satisfaction caused by the high proportion of wind and solar energy access to the distribution network, as well as the uncertainty of wind and solar output, a two-stage distributionally robust optimal dispatch method considering user satisfaction constraints in demand response for active distribution networks is proposed, to achieve coordinated optimization of economic efficiency and user satisfaction. [Methods] An optimization model for distribution network reconfiguration was developed, which considered demand response and user satisfaction. The model aimed to minimize comprehensive costs, including network loss cost, wind and solar curtailment cost, electricity purchase cost, user compensation cost, and switch operation penalty cost. The Frank-Copula function was introduced to characterize the correlation between wind and photovoltaic power output. Typical scenario sets were generated using the K-means clustering method. A distributionally robust optimization model was then constructed based on confidence intervals of 1-norm and ∞-norm. A two-stage solution approach was adopted: the first stage determined the status of branch switching and energy storage, while the second stage optimized the power dispatch and demand response strategies. The column-and-constraint generation algorithm was employed to solve the established model. [Results] Taking the IEEE 33-node distribution network as an example, four scenarios were set up for simulation, and the results showed that the proposed method could effectively improve the clean energy consumption rate, reduce the operating cost, smooth the load curve, and take into account the user’s power satisfaction. Secondly, the sensitivity of the fuzzy set of the split blue rod was analyzed, and the results showed that the confidence interval increased, the uncertainty of wind and solar output increased, the conservatism of the model becomed higher, and the cost also increased. [Conclusion] The distribution network sub-blue rod optimization model considering user satisfaction in demand response significantly improves the operation economy and user satisfaction of the distribution network, and provides an effective way to solve the problem of high proportion of wind and solar energy access.