  The frequency of extreme events (e.g., hurricanes, earthquakes, and floods)
and man-made attacks (cyber and physical attacks) has increased dramatically in
recent years. These events have severely impacted power systems ranging from
long outage times to major equipment (e.g., substations, transmission lines,
power plants, and distribution system) destruction. Distribution system
failures and outages are major contributors to power supply interruptions.
Network reconfiguration and movable energy resources (MERs) can play a vital
role in supplying loads during and after contingencies. This paper proposes a
two-stage strategy to determine the minimum sizes of MERs with network
reconfiguration for distribution service restoration and supplying local and
isolated loads. Sequential Monte Carlo simulations are used to model the
outages of distribution system components. After a contingency, the first stage
determines the network reconfiguration based on the spanning tree search
algorithm. In the second stage, if some system loads cannot be fed by network
reconfiguration, MERs are deployed and the optimal routes to reach isolated
areas are determined based on the DSPA. The traveling time obtained from the
DSPA is incorporated with the proposed sequential Monte Carlo simulation-based
approach to determine the sizes of MERs. The proposed method is applied on
several distribution systems including the IEEE-13 and IEEE-123 node test
feeders. The results show that network reconfiguration can reduce the required
sizes of MERs to supply isolated areas.

Systems and Control;Systems and Control