  This paper proposes an optimization strategy to assist utility operators to
recover power distribution systems after large outages. Specifically, a
mixed-integer linear programming (MILP) model is developed for co-optimizing
crews, resources, and network operations. The MILP model coordinates damage
isolation, network reconfiguration, distributed generator re-dispatch, and
crew/resource logistics. In addition, a framework for integrating different
types of photovoltaic (PV) systems in the restoration process is developed.} We
consider two different types of crews, namely, line crews for damage repair and
tree crews for obstacle removal. We also model the repair resource logistic
constraints. Furthermore, a new algorithm is developed for solving the
distribution system repair and restoration problem (DSRRP). The algorithm
starts by solving DSRRP using an assignment-based method, then a neighborhood
search method is designed to iteratively improve the solution. The proposed
method is validated on modified IEEE 123- and 8500-bus distribution test
systems.
