A bi-level mobile energy storage pre-positioning method for distribution network coupled with transportation network against typhoon disaster

Abstract

Mobile energy storage (MES), as a flexible resource, plays a significant role in disaster emergency response. Rational pre-positioning ahead of disasters can accelerate the dispatch of MES to power outage areas, and further reduce load losses. This paper focuses on typhoon disasters and studies the MES pre-positioning method for distribution networks coupled with transportation networks. Firstly, a typhoon model considering the typhoon eye was formulated. Secondly, the analysis covering the diverse impacts of typhoons on the ‘generation-transmission-load-road’ system was conducted. Subsequently, a bi-level pre-positioning model, considering multi-index evaluation, was established based on scenario-based stochastic optimization. Finally, the modified MATPOWER 18-node test system was utilized to verify the performance of the proposed method, and the simulation results demonstrated its effectiveness and applicability.