TY - GEN
T1 - Evaluating Multi-Weather Impacts on the U.S. Power Grid Reliability
AU - Lee, Sangkeun (Matt)
AU - Chinthavali, Supriya
AU - Bhusal, Narayan
AU - Lebakula, Viswadeep
AU - Morris, Jacob
AU - Iyer, Giri
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - The increasing frequency and complexity of weather-related power outages underscore the need to understand how diverse, concurrent weather phenomena impact power grid resilience. This study integrates the National Weather Service's weather advisory dataset with the EAGLE-I power outage dataset to analyze the interplay between weather events and grid reliability from 2018 to 2024. By examining frequency, likelihood, and outage severity (AUC), we holistically assess which single and combined weather phenomena most adversely affect the grid. Our findings reveal that combinations like Flood, Storm, and Tropical Cyclone, followed by Cold, Winter Weather and Flood, Tropical Cyclone, rank highest in impact due to their amplified likelihood and severity, even when rare. These multi-phenomena events significantly heighten outage risks, necessitating urgent response strategies when observed. While this national analysis highlights critical patterns, regional variations suggest future county-level studies to refine resilience measures. These insights advocate for targeted strategies to bolster grid resilience against complex, multi-phenomena weather events, prioritizing both frequent and rare but severe combinations.
AB - The increasing frequency and complexity of weather-related power outages underscore the need to understand how diverse, concurrent weather phenomena impact power grid resilience. This study integrates the National Weather Service's weather advisory dataset with the EAGLE-I power outage dataset to analyze the interplay between weather events and grid reliability from 2018 to 2024. By examining frequency, likelihood, and outage severity (AUC), we holistically assess which single and combined weather phenomena most adversely affect the grid. Our findings reveal that combinations like Flood, Storm, and Tropical Cyclone, followed by Cold, Winter Weather and Flood, Tropical Cyclone, rank highest in impact due to their amplified likelihood and severity, even when rare. These multi-phenomena events significantly heighten outage risks, necessitating urgent response strategies when observed. While this national analysis highlights critical patterns, regional variations suggest future county-level studies to refine resilience measures. These insights advocate for targeted strategies to bolster grid resilience against complex, multi-phenomena weather events, prioritizing both frequent and rare but severe combinations.
KW - data analysis
KW - power grid
KW - resilience
KW - weather
UR - https://www.scopus.com/pages/publications/105017841375
U2 - 10.1109/IRI66576.2025.00018
DO - 10.1109/IRI66576.2025.00018
M3 - Conference contribution
AN - SCOPUS:105017841375
T3 - Proceedings - 2025 IEEE International Conference on Information Reuse and Integration and Data Science, IRI 2025
SP - 55
EP - 60
BT - Proceedings - 2025 IEEE International Conference on Information Reuse and Integration and Data Science, IRI 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE International Conference on Information Reuse and Integration and Data Science, IRI 2025
Y2 - 6 August 2025 through 8 August 2025
ER -