Record number :
Title of article :
Estimating the spatial distribution of power outages during hurricanes in the Gulf coast region
Author/Authors :
Han، نويسنده , , Seung-Ryong and Guikema، نويسنده , , Seth D. and Quiring، نويسنده , , Steven M. and Lee، نويسنده , , Kyung-Ho and Rosowsky، نويسنده , , David F. Davidson، نويسنده , , Rachel A.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
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Abstract :
Hurricanes have caused severe damage to the electric power system throughout the Gulf coast region of the US, and electric power is critical to post-hurricane disaster response as well as to long-term recovery for impacted areas. Managing power outage risk and preparing for post-storm recovery efforts requires accurate methods for estimating the number and location of power outages. This paper builds on past work on statistical power outage estimation models to develop, test, and demonstrate a statistical power outage risk estimation model for the Gulf Coast region of the US. Previous work used binary hurricane-indicator variables representing particular hurricanes in order to achieve a good fit to the past data. To use these models for predicting power outages during future hurricanes, one must implicitly assume that an approaching hurricane is similar to the average of the past hurricanes. The model developed in this paper replaces these indicator variables with physically measurable variables, enabling future predictions to be based on only well-understood characteristics of hurricanes. The models were developed using data about power outages during nine hurricanes in three states served by a large, investor-owned utility company in the Gulf Coast region.
Keywords :
Overdispersion , Principal components analysis , Power outage , hurricane , Regression modeling , Generalized linear model (GLM) , Power distribution system reliability
Journal title :
Reliability Engineering and System Safety
Link To Document :