针对大规模分布式电源接入配电网后“源-网-荷-储”协同优化中多模态风险耦合与韧性提升问题，提出了一种融合多模态脆弱性感知与需求响应协同优化的弹性配电网动态重构方法。首先，基于复杂网络理论构建拓扑-运行多维度脆弱性评估模型，通过改进介数中心度量化支路拓扑枢纽性，结合电压灵敏度系数表征节点动态扰动敏感性，采用主成分分析实现结构脆弱性与运行脆弱性的无监督融合，精准识别高风险支路。其次，构建了含韧性约束的二阶锥规划模型，将综合脆弱性指标作为惩罚项嵌入目标函数，实现储能动态调度、需求响应弹性负荷与网络拓扑的协同优化。最后，基于IEEE 33节点系统的仿真，结果验证了所提配电网重构策略在降低网损55.1 %的同时，新能源消纳率提升15.17 %，综合脆弱性驱动重构使高风险节点清零，N-1故障恢复时间缩短70 %，峰时电压波动抑制40 %。帕累托前沿分析揭示，6.5 %经济成本增量可换取22.7 %脆弱性指标改善，验证了安全-经济-弹性的多目标协同，为新型配电网提供了“评估-优化-反馈”闭环理论框架与依据。

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.