Times are displayed in (UTC-05:00) Eastern Time (US & Canada)Change
Modeling Power Outage Restoration Following Extreme Events
Topics: Geographic Information Science and Systems
, Spatial Analysis & Modeling
,
Keywords: Power outage, restoration time, extreme events, estimated restoration time, probabilistic model Session Type: Virtual Paper Abstract Day: Monday Session Start / End Time: 2/28/2022 03:40 PM (Eastern Time (US & Canada)) - 2/28/2022 05:00 PM (Eastern Time (US & Canada)) Room: Virtual 13
Authors:
Bandana Kar, Oak Ridge National Laboratory
Olufemi Omitaomu, Oak Ridge National Laboratory
John Brewer, National Energy Technology Laboratory
Benjamin Turner, National Energy Technology Laboratory
Samuel Levinson, National Energy Technology Laboratory
Nicholas Roberts, Oak Ridge National Laboratory
,
,
,
,
Abstract
The restoration of electricity supply services after major extreme events (e.g., hurricanes) is critical to the emergency management community to aid with resource planning as well as response and recovery efforts. However, electricity restoration information is proprietary to utilities and not readily available to emergency management agencies and policy makers. To assist first responders and policy makers, this project focuses on developing a probabilistic restoration model was developed using outage data from different sources in the context of tropical storms. In addition to estimating restoration time, the model was used to identify factors pertaining to infrastructure, utilities and storm event itself which influence rate of restoration and restoration time. The findings could be used by emergency management agencies to plan for essential resources as well as to monitor and support disadvantaged communities with timely recovery.
Modeling Power Outage Restoration Following Extreme Events
