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Title: Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability

Abstract

Modern grid monitoring equipment enables utilities to collect detailed records of power interruptions. Here, these data are aggregated to compute publicly reported metrics describing high-level characteristics of grid performance. The current work explores the depth of insights that can be gained from public data, and the implications of losing visibility into heterogeneity in grid performance through aggregation. We present an exploratory analysis examining three years of high-resolution power interruption data collected by archiving information posted in real-time on the public-facing website of a utility in the Western United States. We report on the size, frequency and duration of individual power interruptions, and on spatio-temporal variability in aggregate reliability metrics. Our results show that metrics of grid performance can vary spatially and temporally by orders of magnitude, revealing heterogeneity that is not evidenced in publicly reported metrics. We show that limited access to granular information presents a substantive barrier to conducting detailed policy analysis, and discuss how more widespread data access could help to answer questions that remain unanswered in the literature to date. Lastly, given open questions about whether grid performance is adequate to support societal needs, we recommend establishing pathways to make high-resolution power interruption data available to supportmore » policy research.« less

Authors:
 [1];  [2];  [2];  [2]
  1. Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
OSTI Identifier:
1508069
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Energy Policy
Additional Journal Information:
Journal Volume: 129; Journal Issue: C; Journal ID: ISSN 0301-4215
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; 24 POWER TRANSMISSION AND DISTRIBUTION; 29 ENERGY PLANNING, POLICY, AND ECONOMY; Electric power systems; Electric power interruptions; Grid reliability metrics; Big data; Data access; Exploratory data analysis

Citation Formats

Dunn, Laurel N., Sohn, Michael D., LaCommare, Kristina Hamachi, and Eto, Joseph H.. Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability. United States: N. p., 2019. Web. doi:10.1016/j.enpol.2019.01.042.
Dunn, Laurel N., Sohn, Michael D., LaCommare, Kristina Hamachi, & Eto, Joseph H.. Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability. United States. doi:10.1016/j.enpol.2019.01.042.
Dunn, Laurel N., Sohn, Michael D., LaCommare, Kristina Hamachi, and Eto, Joseph H.. Fri . "Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability". United States. doi:10.1016/j.enpol.2019.01.042.
@article{osti_1508069,
title = {Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability},
author = {Dunn, Laurel N. and Sohn, Michael D. and LaCommare, Kristina Hamachi and Eto, Joseph H.},
abstractNote = {Modern grid monitoring equipment enables utilities to collect detailed records of power interruptions. Here, these data are aggregated to compute publicly reported metrics describing high-level characteristics of grid performance. The current work explores the depth of insights that can be gained from public data, and the implications of losing visibility into heterogeneity in grid performance through aggregation. We present an exploratory analysis examining three years of high-resolution power interruption data collected by archiving information posted in real-time on the public-facing website of a utility in the Western United States. We report on the size, frequency and duration of individual power interruptions, and on spatio-temporal variability in aggregate reliability metrics. Our results show that metrics of grid performance can vary spatially and temporally by orders of magnitude, revealing heterogeneity that is not evidenced in publicly reported metrics. We show that limited access to granular information presents a substantive barrier to conducting detailed policy analysis, and discuss how more widespread data access could help to answer questions that remain unanswered in the literature to date. Lastly, given open questions about whether grid performance is adequate to support societal needs, we recommend establishing pathways to make high-resolution power interruption data available to support policy research.},
doi = {10.1016/j.enpol.2019.01.042},
journal = {Energy Policy},
number = C,
volume = 129,
place = {United States},
year = {2019},
month = {2}
}

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This content will become publicly available on February 15, 2020
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