A multi-stage dynamic planning-based optimization method for post-disaster resilience enhancement and flexible resource dispatch of distribution networks in coastal cities

The study proposes a multi-stage dynamic resilient recovery strategy based on multiple energy storage to cope with distribution network failures after a disaster in a coastal city, and the postdisaster recovery of the urban distribution network is planned in phases, which is divided into the irst stage of emergency response, the second stage of energy storage recovery and the third stage of economic optimization.Then the post-disaster defense measures of the coastal city are improved by optimizing the recovery strategy.After the calculation example design, the post-disaster recovery and resource scheduling effects of this paper's multi-stage dynamic recovery model are examined through simulation experiments.The multi-stage dynamic recovery model of this paper takes 261 minutes to recover the urban distribution network, which is shorter than the 273 minutes of the traditional recovery model, and the post-disaster resilience is improved.The proposed dispatching scheme based on the multi-stage dynamic recovery model in this paper uses only 13 vehicles, which is the least number of vehicles among all dispatching schemes.The traveling path of mobile emergency resources of this paper's scheme is most consistent with the post-disaster restoration scenario.The combined level of load reactive power and active power restoration of this paper's scheme is optimal.