  Distribution system integrated community microgrids (CMGs) can restore loads
during extended outages. The CMG is challenged with limited resource
availability, absence of a robust grid-support, and demand-supply uncertainty.
To address these challenges, this paper proposes a three-stage hierarchical
multi-timescale framework for scheduling and real-time (RT) dispatch of CMGs.
The CMG's ability to dynamically expand its boundary to support the neighboring
grid sections is also considered. The first stage solves a stochastic day-ahead
(DA) scheduling problem to obtain referral plans for optimal resource
rationing. The intermediate near real-time scheduling stage updates the DA
schedule closer to the dispatch time, followed by the RT dispatch stage. The
proposed methodology is validated via numerical simulations on a modified IEEE
123-bus system, which shows superior performance in terms of RT load supplied
under different forecast error cases, outage duration scenarios, and against
the traditionally used two-stage approach.
