2014-2022年美国各县记录的停电数据集
Christa Brelsford1,2, Sarah Tennille3, Aaron Myers4
1Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA. cbrelsford@lanl.gov.
Scientific data
|March 5, 2024
概括
这项研究提供了详细的县级停电数据,从2014年至2022年,覆盖了92%的美国客户. 来自EAGLE-I系统的数据提供了对停电频率和随时间的覆盖范围的全面见解.
科学领域:
- 能源系统分析 能源系统分析
- 地理信息系统 地理信息系统
- 数据科学数据科学数据科学
背景情况:
- 停电给关键基础设施和公共福祉带来了重大挑战.
- 准确的,关于停电的细分数据对于电网弹性和应急响应计划至关重要.
研究的目的:
- 为美国从2014年到2022年提供一个全面的县级电力中断估计数据集,每15分钟间隔一次.
- 详细说明这些估计的方法和数据质量,包括时间覆盖范围的变化和潜在的数据缺口.
主要方法:
- 利用环境分析地理位置能源信息 (EAGLE-ITM) 平台,一个GIS和数据可视化工具.
- 收集并处理美国各县每15分钟间隔的停电数据.
- 开发了定量数据质量指数,以评估客户覆盖率,并确定从2018-2022年收集数据的问题.
主要成果:
- 创建了为美国编制的最全面的停电信息,到2022年覆盖92%的客户.
- 在2014年至2022年间,数据集内的客户覆盖率呈上升趋势.
- 量化数据质量和覆盖范围在FEMA地区和随时间的变化.
结论:
- 这一数据集为分析美国各地的停电模式提供了前所未有的细节.
- 数据和质量指数是研究人员,政策制定者和电网运营商了解和减轻停电影响的宝贵资源.
- 未来的工作可以利用这些数据来提高电网可靠性,并为基础设施投资提供信息.
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