A two-tier distribution robust distribution network resilience enhancement strategy accounting for fault repair and islanding fusion network reconfiguration.

The difficulty in coordinating reconstruction and restoration resources significantly impacts fault recovery in distribution grids, with source-load uncertainty further affecting the load recovery process. This paper proposes a two-layer distributed robust resilience enhancement strategy that addresses fault repair and dynamic network reconstruction, aiming to resolve issues of resource coordination and source-load uncertainty in fault recovery. First, a coupled fault repair and dynamic reconstruction model for distribution network fault restoration is proposed by combining the spatiotemporal transfer process of fault restoration scheduling (FRS) with the dynamic reconstruction of isolated islands in the distribution network. Second, the DRCC model, based on Wasserstein distance, incorporates source-load uncertainty and utilizes dual theory and CVaR risk approximation to solve the model. To improve efficiency, a two-stage distributed robust optimization strategy is proposed: the first stage addresses network reconstruction and FRS scheduling, while the second solves the distribution network power decision plan based on the DRCC model. Finally, detailed simulations on the improved IEEE 33-bus system verify the effectiveness and feasibility of the proposed strategy, and an additional case study on the larger IEEE 123-bus system further confirms its scalability.