Power grid reconfiguration method applying mobile energy storage vehicles for disaster scenarios

Abstract This paper proposes an optimization technology of grid restructuring based on sequential decision-making, aimed at enhancing the resilience of microgrids in damaged scenarios. Through a two-stage restructuring optimization model, the first stage determines the topology of the microgrid and the configuration locations of the mobile energy storage vehicles, while the second stage establishes the transportation routes and output of these vehicles. The research utilizes the IEEE-30 bus system for simulation experiments and addresses mixed-integer stochastic programming problems using an improved L-shaped algorithm based on Benders’ decomposition. The experimental results demonstrate that the model effectively reduces the power outage time for critical loads and enhances the resilience of the power grid. Furthermore, the study considers the characteristics of both the power system and the transportation network, providing a theoretical foundation for future research.