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Distribution system integrated community microgrids (CMGs) can partake inrestoring loads during extended duration outages. At such times, the CMG ischallenged with limited resource availability, absence of robust grid support,and heightened demand-supply uncertainty. This paper proposes a secure andadaptive three-stage hierarchical multi-timescale framework for scheduling andreal-time (RT) dispatch of CMGs with hybrid PV systems to address thesechallenges. The framework enables the CMG to dynamically expand its boundary tosupport the neighboring grid sections and is adaptive to the changing forecasterror impacts. The first stage solves a stochastic extended duration scheduling(EDS) problem to obtain referral plans for optimal resource rationing. Theintermediate near-real-time (NRT) scheduling stage updates the EDS schedulecloser to the dispatch time using newly obtained forecasts, followed by the RTdispatch stage. To make the dispatch decisions more secure and robust againstforecast errors, a novel concept called delayed recourse is proposed. Themethodology is evaluated via numerical simulations on a modified IEEE 123-bussystem and validated using OpenDSS/hardware-in-loop simulations. The resultsshow superior performance in maximizing load supply and continuous secure CMGoperation under numerous operating scenarios.

SA-HMTS: A Secure and Adaptive Hierarchical Multi-timescale Framework for Resilient Load Restoration Using A Community Microgrid