Abstract
Over the past decade, the frequency and intensity of extreme weather events have significantly increased worldwide, leading to widespread power outages and blackouts. As these threats continue to challenge power distribution systems, the importance of mitigating the impacts of extreme weather events has become paramount. Consequently, resilience has become crucial for designing and operating power distribution systems. This work comprehensively explores the current landscape of resilience evaluation and metrics within the power distribution system domain, reviewing existing methods and identifying key attributes that define effective resilience metrics. The challenges encountered during the formulation, development, and calculation of these metrics are also addressed. Additionally, this review acknowledges the intricate interdependencies between power distribution systems and critical infrastructures, including information and communication technology, transportation, water distribution, and natural gas networks. It is important to understand these interdependencies and their impacts on power distribution system resilience. Moreover, this work provides an in-depth analysis of existing research on planning solutions to enhance distribution system resilience and support power distribution system operators and planners in developing effective mitigation strategies. These strategies are crucial for minimizing the adverse impacts of extreme weather events and enhancing the resilience of power distribution systems.
Original language | American English |
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Number of pages | 20 |
Journal | Renewable and Sustainable Energy Reviews |
Volume | 189 |
Issue number | Part B |
DOIs | |
State | Published - 2024 |
NREL Publication Number
- NREL/JA-5R00-83975
Keywords
- critical infrastructure interdependence
- distributed generation
- high-impact low-probability events
- microgrids
- power distribution planning
- power distribution resilience
- power distribution restoration
- resilience analysis process
- resilience metrics