TY - GEN
T1 - Estimating Critical Customer Outages Resulting from Extreme Hurricanes
AU - Bhusal, Narayan
AU - Lee, Sangkeun Matthew
AU - Bose, Avishek
AU - Chinthavali, Supriya
AU - Allen-Dumas, Melissa R.
AU - Kuruganti, Teja
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - US power outage data has been collected by organizations such as Oak Ridge National Laboratory (ORNL) through Environment for Analysis Geo-Located Energy Infrastructure (EAGLE-I: freely available) and poweroutage.us (commercial data: available to purchase). However, these sources do not provide information specific to outages of critical customers. Critical customers include entities, facilities, and individuals whose continuous access to electricity is essential for public safety, emergency response, disaster recovery, the well-being of vulnerable populations, public safety and order, and public utilities such as natural gas, communications, water and sanitation. Identification and geolocation of critical customers is crucial for understanding and addressing the effects of power outages on essential services and ensuring that necessary measures are taken to maintain their operations during power disruptions. This work is a first step towards estimating the occurrences of critical customer outages and developing a critical customer power outage data repository. This work estimates outage incidents of critical customers through spatiotemporal mapping of power outage data, weather data, building data, and critical infrastructure network data. Our results show that critical customer effects vary across different counties. We provide appropriate mathematical explanations and simplifications to define and systematize the proposed approach.
AB - US power outage data has been collected by organizations such as Oak Ridge National Laboratory (ORNL) through Environment for Analysis Geo-Located Energy Infrastructure (EAGLE-I: freely available) and poweroutage.us (commercial data: available to purchase). However, these sources do not provide information specific to outages of critical customers. Critical customers include entities, facilities, and individuals whose continuous access to electricity is essential for public safety, emergency response, disaster recovery, the well-being of vulnerable populations, public safety and order, and public utilities such as natural gas, communications, water and sanitation. Identification and geolocation of critical customers is crucial for understanding and addressing the effects of power outages on essential services and ensuring that necessary measures are taken to maintain their operations during power disruptions. This work is a first step towards estimating the occurrences of critical customer outages and developing a critical customer power outage data repository. This work estimates outage incidents of critical customers through spatiotemporal mapping of power outage data, weather data, building data, and critical infrastructure network data. Our results show that critical customer effects vary across different counties. We provide appropriate mathematical explanations and simplifications to define and systematize the proposed approach.
KW - Environment for Analysis of Geo-Located Energy Infrastructure (EAGLE-I)
KW - hurricane
KW - interdependency analysis (IA)
KW - North American Energy Resilience Model (NAERM)
KW - power outage
KW - USA Structures
UR - http://www.scopus.com/inward/record.url?scp=85215592792&partnerID=8YFLogxK
U2 - 10.1109/RWS62797.2024.10799428
DO - 10.1109/RWS62797.2024.10799428
M3 - Conference contribution
AN - SCOPUS:85215592792
T3 - 2024 Resilience Week, RWS 2024
BT - 2024 Resilience Week, RWS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 Resilience Week, RWS 2024
Y2 - 3 December 2024 through 5 December 2024
ER -