  Repair crews (RCs) and mobile power sources (MPSs) are critical resources for
distribution system (DS) outage management after a natural disaster. However,
their logistics is not well investigated. We propose a resilient scheme for
disaster recovery logistics to co-optimize DS restoration with dispatch of RCs
and MPSs. A novel co-optimization model is formulated to route RCs and MPSs in
the transportation network, schedule them in the DS, and reconfigure the DS for
microgrid formation coordinately, etc. The model incorporates different
timescales of DS restoration and RC/MPS dispatch, the coupling of
transportation and power networks, etc. To ensure radiality of the DS with
variable physical structure and MPS allocation, we also model topology
constraints based on the concept of spanning forest. The model is convexified
equivalently and linearized into a mixed-integer linear programming. To reduce
its computation time, preprocessing methods are proposed to pre-assign a
minimal set of repair tasks to depots and reduce the number of candidate nodes
for MPS connection. Resilient recovery strategies thus are generated to enhance
service restoration, especially by dynamic formation of microgrids that are
powered by MPSs and topologized by repair actions of RCs and network
reconfiguration of the DS. Case studies demonstrate the proposed methodology.
