Classification and Identification of Renewable Energy Droughts in the United States

Renewable resource droughts, defined as significantly reduced wind and solar power generation periods, present challenges to power system reliability and stability. This study proposes two strategies and suggests their related metrics to identify and classify renewable resource drought events based on severity and duration. The focus of this study is on identifying wind generation droughts across U.S. states, utilizing over 80 years of ERA-5 weather dataset. The results provide valuable insights for optimizing renewable energy integration and strengthening system resilience to renewable resources variability.

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Publication Details

Published
2025-02-10
DOI
https://doi.org/10.1109/tpec63981.2025.10907126
Citations
2
Primary Topic
Energy and Environment Impacts
Type
article
Field-Weighted Citation Impact
1.01
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article

Classification and Identification of Renewable Energy Droughts in the United States

Thomas J. Overbye, Farnaz Safdarian, Kseniia Zhgun
2 citations
Energy and Environment Impacts
1.01
article

Classification and Identification of Renewable Energy Droughts in the United States

Thomas J. Overbye, Farnaz Safdarian, Kseniia Zhgun
article en
2 citations

Abstract

Renewable resource droughts, defined as significantly reduced wind and solar power generation periods, present challenges to power system reliability and stability. This study proposes two strategies and suggests their related metrics to identify and classify renewable resource drought events based on severity and duration. The focus of this study is on identifying wind generation droughts across U.S. states, utilizing over 80 years of ERA-5 weather dataset. The results provide valuable insights for optimizing renewable energy integration and strengthening system resilience to renewable resources variability.

Texas A&M University (US)
Affordable and clean energy
Openalex Percentile: Top 29%
Energy and Environment Impacts
1.01
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