In the context of source grid load collaborative scheduling, a reliability evaluation method for active distribution networks con sidering load recovery strategies is proposed to achieve accurate assessment of distribution network reliability. Firstly, a time-varying fail ure rate model for components and a multi state model for distributed generators（DG）are constructed based on Markov processes. Based on this, an improved Distflow power flow model suitable for fault reconstruction and islanding partitioning is proposed. The model is linearized using the big M method and a linear radial constraint method is introduced to model the load recovery strategy as a mixed integer linear programming（MILP）problem. Secondly, power outage consequences analysis is conducted for various fault scenarios to achieve reliability assessment of active distribution networks. Finally, the impact of load recovery strategy on reliability was analyzed through IEEE standard examples, and the results showed that considering load recovery strategy can effectively tap into the power supply recovery capability of active distribution networks and further improve power supply reliability.