Campus Units

Electrical and Computer Engineering

Document Type

Article

Publication Version

Submitted Manuscript

Publication Date

2020

Journal or Book Title

arXiv

Abstract

Resilience curves track the accumulation and restoration of outages during an event on an electric distribution grid. We show that a resilience curve generated from utility data can always be decomposed into an outage process and a restore process and that these processes generally overlap in time. We use many events in real utility data to characterize the statistics of these processes, and derive formulas based on these statistics for resilience metrics such as restore duration, customer hours not served, and outage and restore rates. Estimating the variability of restore duration allows us to predict a maximum restore duration with 95% confidence.

Comments

This is a pre-print of the article Carrington, Nichelle'Le K., Ian Dobson, and Zhaoyu Wang. "Extracting resilience metrics from distribution utility data using outage and restore process statistics." arXiv preprint arXiv:2011.00693 (2020). Posted with permission.

Copyright Owner

The Author(s)

Language

en

File Format

application/pdf

Published Version

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