  This paper proposes a post-disaster cyber-physical interdependent restoration
scheduling (CPIRS) framework for active distribution networks (ADN) where the
simultaneous damages on cyber and physical networks are considered. The ad hoc
wireless device-to-device (D2D) communication is leveraged, for the first time,
to establish cyber networks instantly after the disaster to support ADN
restoration. The repair and operation crew dispatching, the remote-controlled
network reconfiguration and the system operation with DERs can be effectively
coordinated under the cyber-physical interactions. The uncertain outputs of
renewable energy resources (RESs) are represented by budget-constrained
polyhedral uncertainty sets. Through implementing linearization techniques on
disjunctive expressions, a monolithic mixed-integer linear programming (MILP)
based two-stage robust optimization model is formulated and subsequently solved
by a customized column-and-constraint generation (C&CG) algorithm. Numerical
results on the IEEE 123-node distribution system demonstrate the effectiveness
and superiorities of the proposed CPIRS method for ADN.
