TY - GEN
T1 - A Comprehensive Model for Analyzing the Effects of Power Outages on Customers
AU - Lee, Sangkeun Matthew
AU - Tabassum, Anika
AU - Bhusal, Narayan
AU - Ahmad, Nasir
AU - Chinthavali, Supriya
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - customer impact
KW - modeling
KW - power outage
KW - reliability
KW - resilience
UR - http://www.scopus.com/inward/record.url?scp=85215609109&partnerID=8YFLogxK
U2 - 10.1109/RWS62797.2024.10799412
DO - 10.1109/RWS62797.2024.10799412
M3 - Conference contribution
AN - SCOPUS:85215609109
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 -