Resilience enhancement for distribution networks: Co-deployment of mobile energy storage systems and EV charging stations in strong wind events

To address the challenge of ineffective critical load restoration during extreme strong wind events due to insufficient pre-disaster resource allocation in distribution networks, this study aims to enhance distribution network resilience through a novel method that integrates pre-disaster preventive measures with in-disaster island merging under high-wind conditions. First, the spatiotemporal evolution characteristics of strong winds are analyzed using the power-law wind profile model to determine the time-varying failure rates of distribution lines. Typical fault scenarios under strong wind weather are then generated via Monte Carlo simulation. Second, an optimization model is developed for pre-disaster distribution line reinforcement and mobile energy storage system (MESS) pre-deployment. For the generated fault scenarios, an in-disaster restoration model incorporating island merging is established, which explicitly formulates dynamic constraints coupling virtual power flows with the state variables of network nodes and branches. A dynamic MESS dispatching strategy is also introduced to collaboratively restore load supply with pre-deployed electric vehicle charging stations (EVCS). Finally, simulation results on the IEEE 33-node test system validate that the proposed strategy successfully secures the power supply to critical loads and improves system resilience. • Proposes a resilience strategy integrating pre-disaster planning and response. • MESS and EVCS are co-deployed to build a fixed-mobile emergency supply network. • Dynamic island merging with MESS dispatch restores critical loads under strong winds. • A time-varying line failure model is built using wind profiles and Monte Carlo.