Resilience assessment and planning in power distribution systems: Past and future considerations.

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. [Display omitted] • Customer outages are caused by weather-related damages in power distribution systems. • Standard metrics to quantify resilience that unify existing definitions are required. • Comprehensive resilience enhancement encompasses planning, operations, and recovery. • Resilience modeling requires understanding critical infrastructure interdependence. • Enhancing resilience needs untapping the potential of distribution-connected resources. [ABSTRACT FROM AUTHOR]