Abstract
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.
| Original language | English |
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| Title of host publication | 2024 Resilience Week, RWS 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350388985 |
| DOIs | |
| State | Published - 2024 |
| Event | 2024 Resilience Week, RWS 2024 - Austin, United States Duration: Dec 3 2024 → Dec 5 2024 |
Publication series
| Name | 2024 Resilience Week, RWS 2024 |
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Conference
| Conference | 2024 Resilience Week, RWS 2024 |
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| Country/Territory | United States |
| City | Austin |
| Period | 12/3/24 → 12/5/24 |
Funding
This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (https://www.energy.gov/doepublic- access-plan). EAGLE-I data used in this work are based on work supported by the DOE Office of Cybersecurity, Energy, Security, and Emergency Response.
Keywords
- Environment for Analysis of Geo-Located Energy Infrastructure (EAGLE-I)
- North American Energy Resilience Model (NAERM)
- USA Structures
- hurricane
- interdependency analysis (IA)
- power outage