Abstract：The resilience capacity of farm distribution networks primarily stems from distributed generators，

such as photovoltaic and biogas systems，to withstand disturbances and facilitate load recovery as microgrids during system failures. However，the dynamic characteristics of distributed generators and the cascading effects within the system during such failures are complex. Existing resilience assessment methods for active distribution networks struggle to accurately capture the improvements brought by distributed generators. Therefore，a resilience assessment method is needed considering dynamic cascading characteristics of distributed generators. To address these challenges，a resilience assessment index were proposed that encompasses fault probability，load loss，and fault repair time for farm distribution networks featuring photovoltaic and biogas generators. Based on the system's emergency dispatch architecture，a dynamic cascading model for microgrids was established to calculate the resilience assessment index. Furthermore，the rolling resilience assessment method for farm distribution net-works was developed. Finally，a simulation example based on improved IEEE-33 system was constructed. A series of simulation tests were conducted，demonstrating that the proposed method can accurately assess resilience and effectively reflect the dynamic cascading characteristics of system.

      Key words：farm distribution network；resilience assessment；distributed generation；cascading characteristics；dynamic analysis