Two-stage robust scheduling strategy for multi-resource coordination in distribution networks under extreme disasters with multi-type faults and renewable uncertainty

Extreme events such as typhoons can trigger large-scale blackouts and cause severe economic losses, highlighting the urgent need for rapid load restoration in the distribution network following faults. However, existing distribution network restoration models often suffer from overly simplified fault scenario characterization and insufficient coordination among multiple restoration resources. To address these limitations, this paper proposes a two-stage robust emergency coordination scheduling strategy that considers fault scenario diversity and the regulation characteristics of restoration resources. The strategy coordinates repair crews and emergency network resources to maximize load restoration. First, based on the abnormal impact mechanism of typhoons on power grid equipment, two representative types of fault scenarios—the most likely and the most severe—are characterized. Second, the uncertainty of wind-solar generation is analyzed using a Gaussian mixture model, and a two-stage robust scheduling model for multi-resource coordination is developed, incorporating fault scenario diversity and renewable generation uncertainty. The model is solved using a column-and-constraint generation algorithm. Finally, case studies on an enhanced IEEE 33-bus distribution system demonstrate the effectiveness and superiority of the proposed approach.