Electrical grid resilience framework with uncertainty

Abstract Resilience in our electrical grid is imperative to the well being of society after events such as natural disasters or cyber attacks. To justify the development of resilience improvements in the grid, metrics are needed to quantify the improvement and cost benefit. These resilience metrics need to consider the inherent uncertainty in the grid, which arise from elements such as variable load and generation. This paper presents a method to include uncertainty in the proposed resilience framework. The resilience framework is demonstrated on a 2000-bus synthetic grid with a transient contingency simulated as a hurricane type event with numerous line outages. Varying amounts of distributed energy resources (DERs) at 0%, 10%, 20%, and 50% of load amount are included in the system and assessed for their system resilience impact and cost-benefit with and without uncertainty evaluated using Monte Carlo simulation.

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