Abstract
Power outages can cause significant inconveniences to critical services and substantial economic losses. Therefore, it is crucial to systematically analyze the impact on customers during power outages caused by various factors, such as severe thunderstorms, floods, vegetation, or mechanical problems, and to plan for reliable operation and control under such events. Power outages in different locations may exhibit varying characteristics regarding customer impact. In this paper, we present a mathematical model that captures the essential characteristics of customer impact during power outages. The parameters of our model include impact duration, recovery duration, maximum impact level, increase curve parameter, and decrease curve parameter. We demonstrate how historical power outage data can be fitted to our model, enabling a systematic comparison of outages caused by different factors in various locations.
| Original language | English |
|---|---|
| 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 |
|---|
Conference
| Conference | 2024 Resilience Week, RWS 2024 |
|---|---|
| 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).
Keywords
- customer impact
- modeling
- power outage
- reliability
- resilience
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