The severe impact of extreme natural disasters, such as line icing, significantly affects the safety of distribution network. The advent of microgrid with energy storage provides a new method to enhance the resilience of the system. This paper proposes a cooperative optimization strategy for the operation of microgrids and distribution network, leveraging the emergency power supply capabilities of distributed energy sources and storage to enhance the resilience of the distribution network and microgrids cluster system. Firstly, considering the evolving characteristics of line icing disaster, a quantitative model for assessing the risk of line fault in the distribution network is established. Secondly, a coordinated mixed timescale rolling-horizon optimization method is proposed, the long-term optimization focuses on microgrids energy storage prescheduling and distribution network line repair strategies at the inter-day time scale. The short-term day-ahead optimization mainly addresses the intra-day uncertainty of new energy sources and the network topology changes under line fault evolution. The strategy is solved using a column and constraint generation algorithm. The long-and-short-term optimization is rolled out throughout the whole ice disaster. The proposed strategy is simulated and validated using an improved IEEE standard 33-node distribution network. Simulation analysis indicates that the proposed method effectively enhances the resilience of the distribution network and microgrids system.