Aiming at the problem of multimodality risk coupling and resilience improvement in”source-network-load-storage” collaborative optimization after large-scale distributed generation access to distribution network, a dynamic reconfiguration method of elastic distribution network integrating multimodality vulnerability perception and demand response collaborative optimization is proposed. Firstly, based on the complex network theory, a topology-operation multi-dimensional vulnerability assessment model is constructed. By improving the betweenness center to quantify the topological hub of the branch, the voltage sensitivity coefficient is used to characterize the dynamic disturbance sensitivity of the node, and the principal component analysis is used to realize the unsupervised fusion of structural vulnerability and operational vulnerability, so as to accurately identify high-risk branches. Secondly, a second-order cone programming model with resilience constraints is constructed, and the comprehensive vulnerability index is embedded into the objective function as a penalty term to realize the collaborative optimization of energy storage dynamic scheduling, demand response elastic load and network topology. Finally, based on the simulation of IEEE 33-node system, the results verify that the proposed distribution network reconfiguration strategy reduces the network loss by 55.1 %, while the new energy consumption rate increases by 15.17 %. The comprehensive vulnerability-driven reconfiguration makes the high-risk nodes clear, the N-1 fault recovery time is shortened by 70 %, and the peak-time voltage fluctuation is suppressed by 40 %. Pareto frontier analysis reveals that 6.5 % economic cost increment can exchange for 22.7 % vulnerability index improvement, which verifies the multi-objective coordination of safety-economy-elasticity. It provides an “evaluation-optimization-feedback” closed-loop theoretical framework and basis for the new distribution network.