# Using historical utility outage data to compute overall transmission grid resilience

## TL;DR

This paper introduces a new method to quantitatively measure transmission grid resilience using empirical outage data, demonstrating its application by assessing the impact of distributed generation on system resilience.

## Contribution

It presents a novel, comprehensive approach to quantify power system resilience based on empirical data, capturing multiple resilience processes.

## Key findings

- Distributed generation improves system resilience.
- Empirical outage data effectively models resilience probabilities.
- Method provides a new way to evaluate resilience enhancements.

## Abstract

Given increasing risk from climate-induced natural hazards, there is growing interest in the development of methods that can quantitatively measure resilience in power systems. This work quantifies resilience in electric power transmission networks in a new and comprehensive way that can represent the multiple processes of resilience. A novel aspect of this approach is the use of empirical data to develop the probability distributions that drive the model. This paper demonstrates the approach by measuring the impact of one potential improvement to a power system. Specifically, we measure the impact of additional distributed generation on power system resilience.