Resilience Enhancement with Transportable Storage Systems and Repair Crews in Coupled Transportation and Distribution Networks

Abstract

The significance of resilience within power system infrastructures has been progressively acknowledged. To address this challenge, this paper introduces an innovative framework to enhance distribution network (DN) resilience by incorporating transportable storage systems (TSSs). To do so, we take into account the interconnection between the DN and the transportation network (TN) to optimize the trajectory planning of TSSs. To account for real-world features, the traffic flow of TN is modeled according to traffic counter cameras of Sioux Falls city. In addition, the effects of blocked roads on TSSs' movements through microgrids (MGs), and clearing operation of obstructions by repair crews are considered as these factors have a great impact on system operational cost. Further, an optimal reconfiguration program is proposed to add more flexibility to the system. The developed model is formulated as mixed-integer linear programming (MILP) and various case studies are presented including analyzing TSSs and repair crews’ operations, both individually and concurrently. Different case studies reveal the positive impact of TSSs, reducing the total cost of the system by approximately 13.11%. In post-event, blocked roads directly increase the operation costs by 17.02%; however, repair crews' cooperation with TSSs, achieved a remarkable 12.75% reduction in operation costs.