Resilience-Oriented Hierarchical Service Restoration in Distribution System Considering Microgrids

In order to improve the resilience of distribution networks after major disasters, a three-level service restoration method considering the variability and scarcity of generation resources within microgrids is proposed. First, a feasible restoration tree from microgrids to critical loads is established to maximize the amount of restored critical loads. The reserve capacity state is incorporated as constraints of the restoration problem to ensure that restored loads can have a continuous power supply. Then, considering the service capability of microgrids, the secondary scheme using emergency power supply vehicle (EPS) and microgrids to restore all critical loads is formulated. On this basis, the third-level restoration model with the maximum resilience metric as the objective function is established to guide the restoration of non-critical loads in each period. Finally, the system resilience is evaluated by the non-parametric kernel density estimation. Numerical simulations are performed on the PG&E 69-node and IEEE 123-node feeder system under several scenarios to demonstrate the effectiveness of the proposed method, and the impacts of energy storage system (ESS) and EPS on the restored networks are discussed.