• 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