2002-2019年美国对大规模停电的应变能力

IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Aman Ankit , Zhanlin Liu , Scott B. Miles , Youngjun Choe
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引用次数: 5

摘要

长期停电使经济衰弱,并威胁到公众健康。现有的研究通常局限于单个事件、中断原因或一个地区。在这里,我们提供了2002年至2019年美国大规模停电的最全面分析之一。这一分析是根据美国联邦法令收集的停电数据进行的,这些数据涉及大规模停电,通常是输电系统的停电,而不包括更常见但规模较小的停电,通常是配电系统的停电。我们将数据分为四种停电原因,并计算了可靠性指标,这些指标通常只用于配电级的小型停电,但对分析大型停电很有用。我们的时空分析揭示了自2010年以来美国六个最具弹性的州,南部和东北部地区的电力抵御自然灾害的能力有所提高,西部电力协调委员会地区的人口遭受了不成比例的大量人为袭击。我们的回归分析确定了美国对大停电的恢复能力的几个统计上显著的预测因素和假设。此外,我们提出了一个新的框架来分析停电数据使用差分加权和影响点,以更好地了解电力弹性。我们将整理好的数据和代码作为补充材料共享。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
U.S. Resilience to large-scale power outages in 2002–2019

Prolonged power outages debilitate the economy and threaten public health. Existing research is generally limited in its scope to a single event, an outage cause, or a region. Here, we provide one of the most comprehensive analyses of large-scale power outages in the U.S. from 2002 to 2019. This analysis is based on the outage data collected under U.S. federal mandates that concern large blackouts, typically of transmission systems and exclude much more common but smaller blackouts, typically, of distribution systems. We categorized the data into four outage causes and computed reliability metrics, which are commonly used for distribution-level small outages only but useful for analyzing large blackouts. Our spatiotemporal analysis reveals six of the most resilient U.S. states since 2010, improvement of power resilience against natural hazards in the south and northeast regions, and a disproportionately large number of human attacks for its population in the Western Electricity Coordinating Council region. Our regression analysis identifies several statistically significant predictors and hypotheses for U.S. resilience to large blackouts. Furthermore, we propose a novel framework for analyzing outage data using differential weighting and influential points to better understand power resilience. We share curated data and code as Supplementary Materials.

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来源期刊
安全科学与韧性(英文)
安全科学与韧性(英文) Management Science and Operations Research, Safety, Risk, Reliability and Quality, Safety Research
CiteScore
8.70
自引率
0.00%
发文量
0
审稿时长
72 days
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