GSTDTAP  > 气候变化
DOI10.1016/j.enpol.2019.01.042
Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability
Dunn, Laurel N.1,2; Sohn, Michael D.2; LaCommare, Kristina Hamachi2; Eto, Joseph H.2
2019-06-01
发表期刊ENERGY POLICY
ISSN0301-4215
EISSN1873-6777
出版年2019
卷号129页码:206-214
文章类型Article
语种英语
国家USA
英文摘要

Modern grid monitoring equipment enables utilities to collect detailed records of power interruptions. 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. 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.


英文关键词Electric power systems Electric power interruptions Grid reliability metrics Big data Data access Exploratory data analysis
领域气候变化
收录类别SCI-E ; SSCI
WOS记录号WOS:000468012900020
WOS类目Economics ; Energy & Fuels ; Environmental Sciences ; Environmental Studies
WOS研究方向Business & Economics ; Energy & Fuels ; Environmental Sciences & Ecology
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/183635
专题气候变化
作者单位1.Univ Calif Berkeley, Dept Civil & Environm Engn, Berkeley, CA 94720 USA;
2.Lawrence Berkeley Natl Lab, Energy Technol Area, Berkeley, CA USA
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Dunn, Laurel N.,Sohn, Michael D.,LaCommare, Kristina Hamachi,et al. Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability[J]. ENERGY POLICY,2019,129:206-214.
APA Dunn, Laurel N.,Sohn, Michael D.,LaCommare, Kristina Hamachi,&Eto, Joseph H..(2019).Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability.ENERGY POLICY,129,206-214.
MLA Dunn, Laurel N.,et al."Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability".ENERGY POLICY 129(2019):206-214.
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