To address the issue of large-scale power outages in distribution networks caused by waterlogging due to heavy rainfall

this paper proposes a multi‑stage coordinated resilience‑oriented regulation method for flexible resources in distribution networks during and after disasters. By establishing a correlation model between waterlogging depth and substation failure rate and combining it with Monte Carlo sampling to simulate fault scenarios

a multi‑index resilience evaluation system is constructed. This system includes indicators such as loss of load rate

energy not supplied rate

recovery speed

and recovery time. The entropy weight method is adopted to determine the weights of each index

thereby comprehensively quantifying the distribution network’s ability to cope with disasters. In the pre‑disaster stage

mobile energy storage vehicles are pre‑configured based on typical disaster scenarios to optimize their initial layout. During the disaster

tie‑switch operations are utilized to dynamically reconfigure the network topology

forming islanded operation modes to reduce load loss. In the post‑disaster stage

distributed generation resources and mobile energy storage vehicles are coordinated

and network reconfiguration is implemented to gradually restore power supply to critical loads

while considering the actual impact of waterlogging on the dispatch routes and speeds of mobile energy storage vehicles. Simulation results on the IEEE 33‑node system demonstrate that the proposed method can effectively assess the resilience of the distribution network. Through multi‑stage optimal regulation strategies for flexible resources

load loss is significantly reduced

and emergency power supply capability is enhanced

verifying the feasibility and effectiveness of the method in responding to waterlogging disasters.