Disaster management approaches for active distribution networks based on Mobile Energy Storage System

In light of the frequent distribution network outages and economic losses caused by extreme natural disasters, the development of a reasonable disaster management method is crucial for building a resilient distribution network. Therefore, this paper proposes an active distribution network disaster management method based on Mobile Energy Storage System (MESS) active regulation. The method divides natural disasters into two stages: pre-disaster and post-disaster. In the pre-disaster prevention phase, the graph search algorithm is first used to search and determine the uninterrupted path of power supply for accessing MESS, and then with the goal of minimizing the pre-disaster prevention cost and setting the constraints, the pre-disaster two-phase robust MESS deployment model is constructed by taking into account the uncertainty of the distributed power supply, and the column constraints generation algorithm is used to iteratively solve the pre-layout scheme of MESS. In the post-disaster recovery phase, considering the time-varying nature of distributed power output, a dynamic scheduling model of multiple swarm co-evolution of MESS is constructed, and the improved Non-dominated Sorting Genetic Algorithm-II (NSGA-II) algorithm is used to solve the dynamic scheduling scheme of MESS. Finally, an example analysis is carried out through the IEEE 33-node distribution system to verify the robustness of the proposed strategy of the pre-disaster prevention model to the uncertainty of the distributed power output prediction error, and the feasibility of the post-disaster MESS dynamic dispatch model with the time-varying nature of the distributed power output; meanwhile, it confirms the validity of the establishment of the collection of power supply uninterrupted nodes in improving the proportion of the restoration of power supply of important loads of the distribution network during the disaster period.