针对高比例可再生能源接入情形下配电网韧性不足的问题，提出一种考虑先进绝热压缩空气储能(advanced adiabatic compressed air energy storage, AA-CAES)的配电网韧性提升策略。构建了AA-CAES参与电网事故响应的调度模型，并采用基于Wasserstein距离的分布鲁棒机会约束刻画可再生能源出力的不确定性；在改进的IEEE 33节点系统上开展仿真试验，验证所提策略的有效性。结果表明：配置AA-CAES后，系统在应对极端事件时失负荷率显著降低，相较于未配置AA-CAES的场景，在仅增加1.17%调度成本的情况下，失负荷率下降3.84%。结论指出，所提策略有效增强了配电网在灾害扰动下的供电能力，可在小幅提升运行成本的同时显著改善供电可靠性，实现了经济性与韧性的协同优化。

To address the insufficient resilience of distribution networks under high penetration of renewable energy, this paper proposes a resilience enhancement strategy incorporating advanced adiabatic compressed air energy storage (AA-CAES). A dispatch model is formulated in which AA-CAES participates in grid contingency response, and the uncertainty of renewable generation is characterized using distributionally robust chance constraints based on the Wasserstein distance. Simulation tests are conducted on a modified IEEE 33-node system to validate the effectiveness of the proposed strategy. Results show that, with AA-CAES deployed, the loss-of-load rate during extreme events is significantly reduced − decreasing by 3.84% compared to the scenario without AA-CAES, at the cost of only a 1.17% increase in dispatch cost. The study concludes that the proposed strategy effectively enhances the power supply capability of distribution networks under disaster-induced disturbances, achieving coordinated optimization between operational economy and resilience through a modest cost increment and substantial reliability improvement.