A Two-stage Microgrid Reconfiguration Model With Mobile Energy Storage

Mobile energy storage (MES) including truck-mounted mobile emergency generators have been extensively considered as the most efficient back-up resource that enhances the resilience of the power grid (PG) under extreme situations such as natural disasters and artificial damages. Motivated by the recent progress in MES-based reconfiguration, this paper proposes a novel two-stage reconfiguration model, minimizing the outage duration of loads according to their proportional priorities, consists of pre-positioning and dynamic allocation using stochastic optimization sequentially from the perspective of resilience optimization. The proposed framework and the applied algorithm are validated with the modified IEEE 30-bus radial distribution network test, and the numerical results confirm that the proposed reconfiguration model can promote resilience of the power grid effectively.