Multi-stage dynamic post-disaster recovery strategy for distribution network considering integrated energy and transportation network

Abstract

To improve the resilience of distribution networks (DNs), a multi-stage dynamic recovery strategy is proposed in this paper, which is designed for post-disaster DN considering an integrated energy system (IES) and transportation network (TN). First, the emergency response quickly increases the output of gas turbines (GTs) in the natural gas network (NGN), and responsively reconfigures the DN in microgrids, to maximize the amount of loads to be restored. The single-commodity flow model is adopted to construct spanning tree constraints. Then, in the second stage of energy storage recovery, mobile energy storage systems (MESSs) are deployed to cover the shortages of power demands, i.e., to further restore the loads after evaluating the load recovery situation. The Floyd algorithm based dynamic traffic assignment (DTA) is selected to obtain the optimal path of the MESSs. In the third stage, the outputs of various post-disaster recovery measures are adjusted to achieve an economically optimized operation. Case studies demonstrate the effectiveness of the proposed dynamic post-disaster recovery strategy.