Renewable energy + Weather + Power system blackout (large-scale outage)

<b>To use the data in your work, please cite the following references:</b><b>Zhao, J., Li, F. &amp; Zhang, Q. Impacts of renewable energy resources on the weather vulnerability of power systems.</b><b> </b><b><i>Nat Energy</i></b><b> </b><b>(2024). https://doi.org/10.1038/s41560-024-01652-1</b>Please read ‘ReadMe’ for the introduction of all the datasets.The codes related to this work can be found at <i>https://github.com/JinZhaoTCD/NE_WeatherBlackout_Code</i>This repository contains combined weather, renewable energy, and power system blackout (large-scale outage) data of the U.S., developed by Professor Fangxing (Fran) Li at The University of Tennessee, his Research Scientist Jin Zhao (currently Assistant Professor at Trinity College Dublin) and his PhD Qiwei Zhang 2022-2024.This data set will be of interest to you if you conduct power system resilience studies, such as weather-impacted system operations and blackouts in renewable penetrated power grids. We organized and filtered over 2000 real-world bulk system blackout events, the corresponding daily weather data, and renewable (solar and wind) penetration levels across the 48 continental U.S. states from January 2001 to December 2020.Users can access the developed data set for all blackout information including the time and dates, event reasons, event intensities (duration, affected customer number, demand loss), weather conditions, and renewable penetration levels.

若在研究工作中使用本数据集，请引用如下文献：赵进, 李方星, 张齐威. 可再生能源对电力系统天气脆弱性的影响[J]. 自然·能源, 2024. DOI: 10.1038/s41560-024-01652-1。请查阅‘ReadMe’文件以了解所有数据集的详细介绍。本研究相关代码可访问：https://github.com/JinZhaoTCD/NE_WeatherBlackout_Code。本数据集由田纳西大学方星（Fran）李教授、其研究科学家赵进（现任都柏林圣三一学院助理教授）以及其博士生张齐威于2022-2024年间构建，包含美国境内整合的气象、可再生能源与大规模停电数据。若您从事电力系统韧性相关研究，例如含高可再生能源渗透率电网的气象影响系统运行与停电事件分析，本数据集将极具参考价值。本数据集整理并筛选了2001年1月至2020年12月间，美国本土48州的2000余起真实大容量电力系统停电事件，以及对应时段的逐日气象数据与可再生能源（太阳能、风电）渗透率数据。用户可通过本数据集获取全部停电相关信息，包括事件发生的时间与日期、事件原因、事件强度（持续时长、受影响用户数、用电损失量）、气象条件以及可再生能源渗透率。