Keywords
Disturbance Model
Fault Localization
Restoration Sequence
Distributed Energy
Service Resilience
Abstract
Smart-Grid Restoration depends on a defensible relationship between performance with evidence quality, resource limits, and transfer across settings. The discussion is organized around connecting disturbance diagnosis, restoration sequencing, distributed resources, and critical-load recovery. The corpus joins 1 focal paper with 11 independently retrieved publications whose authorship and venue fields were independently checked. The analysis is organized around disturbance model, fault localization, restoration sequence, distributed energy, and service resilience. A central precaution is not to treat reported outcomes as directly interchangeable, the review compares problem formulation, design assumptions, and transfer boundary. Across the literature, the most stable insight is that advances in smart-grid restoration become credible when workload, dependency, and recovery policy are evaluated together and when uncertainty about observability is reported explicitly. The comparative structure connects method selection to decision consequence and recurring validity threats, and proposes a research agenda centered on traceable baselines, scenario testing, and reusable evidence.
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Copyright (c) 2026 Miles Perkins, Parker Fleming, Reid Chandler (Author)