DocumentCode :
135671
Title :
Risk analysis for distribution systems in the Northeast U.S. under wind storms
Author :
Peng Zhang ; Gengfeng Li ; Luh, Peter B. ; Wenyuan Li ; Zhaohong Bie ; Serna, Camilo
Author_Institution :
ECE, Univ. of Connecticut, Storrs, CT, USA
fYear :
2014
fDate :
27-31 July 2014
Firstpage :
1
Lastpage :
1
Abstract :
Summary form only given. With the growing trend of extreme weather events in the Northeast U.S., a region of dense vegetation, evaluating hazard effects of wind storms on power distribution systems becomes increasingly important for disaster preparedness and fast responses in utilities. In this paper, probabilistic wind storm models for the study region have been built by mining 160-year storm events recorded in the National Oceanic and Atmospheric Administration´s Atlantic basin hurricane database (HURDAT). Further, wind storms are classified into six categories according to NOAA criteria and IEEE standard to facilitate the evaluation of distribution system responses under different levels of hazards. The impacts of wind storms in all categories are accurately evaluated through a Sequential Monte Carlo method enhanced by a temporal wind storm sampling strategy. Extensive studies for the selected typical distribution system indicate that our models and methods effectively reveal the hazardous effects of wind storms in the study region, leading to useful insights towards building better system hardening schemes.
Keywords :
Monte Carlo methods; distribution networks; risk analysis; storms; Atlantic basin hurricane database; HURDAT; IEEE standard; NOAA criteria; National Oceanic and Atmospheric Administration; Northeast U.S; disaster preparedness; extreme weather events; power distribution systems; risk analysis; sequential Monte Carlo method; system hardening schemes; temporal wind storm sampling strategy; wind storms; Atmospheric modeling; Educational institutions; Hazards; Market research; Risk analysis; Storms; Wind;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
Type :
conf
DOI :
10.1109/PESGM.2014.6939519
Filename :
6939519
Link To Document :
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