  Mobile energy storage systems (MESSs) provide promising solutions to enhance
distribution system resilience in terms of mobility and flexibility. This paper
proposes a rolling integrated service restoration strategy to minimize the
total system cost by coordinating the scheduling of MESS fleets, resource
dispatching of microgrids and network reconfiguration of distribution systems.
The integrated strategy takes into account damage and repair to both the roads
in transportation networks and the branches in distribution systems. The
uncertainties in load consumption and the status of roads and branches are
modeled as scenario trees using Monte Carlo simulation method. The operation
strategy of MESSs is modeled by a stochastic multi-layer time-space network
technique. A rolling optimization framework is adopted to dynamically update
system damage, and the coordinated scheduling at each time interval over the
prediction horizon is formulated as a two-stage stochastic mixed-integer linear
program with temporal-spatial and operation constraints. The proposed model is
verified on two integrated test systems, one is with Sioux Falls transportation
network and four 33-bus distribution systems, and the other is the Singapore
transportation network-based test system connecting six 33-bus distribution
systems. The results demonstrate the effectiveness of MESS mobility to enhance
distribution system resilience due to the coordination of mobile and stationary
resources.
