This invention discloses a method and
system for configuring and restoring flexible resources and mobile
energy storage in a power distribution network, belonging to the field of
smart power distribution network technology. Based on a
typhoon wind field and wind and rain
load model, this invention constructs a time-varying
failure rate for power lines and uses Latin
hypercube sampling to generate a set of failure scenarios. Typical scenarios are obtained through
scenario reduction. Based on the failure scenarios, in the pre-disaster stage, the invention identifies the deployment locations of smart soft switches (SOPs) and mobile
energy storage systems (MESSs) that minimize the sum of pre-disaster investment costs and post-
disaster recovery period weighted
load shedding costs. In the post-disaster stage, time-varying
accessibility constraints are constructed based on road
travel time preprocessing results, establishing a collaborative
recovery model that includes SOP operation,
network reconfiguration, and MESS time-varying scheduling. This invention, based on the collaborative configuration and post-disaster control of flexible resources and mobile
energy storage, effectively reduces the configuration cost of the power distribution network while improving its support and
recovery capabilities in the face of extreme disasters such as typhoons.