Risk analysis for distribution systems in the Northeast U.S. under wind storms
Risk analysis for distribution systems in the Northeast U.S. under wind storms
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DOI：
10.1109/tpwrs.2013.2286171
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发表时间：
2014-03
期刊：
影响因子：
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通讯作者：
Peng Zhang;Gengfeng Li;P. Luh;Wenyuan Li;Z. Bie;Camilo Serna
中科院分区：
文献类型：
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作者：
Peng Zhang;Gengfeng Li;P. Luh;Wenyuan Li;Z. Bie;Camilo Serna
仅提供摘要形式。随着美国东北部极端天气事件的增长趋势，在一个植被茂密的地区，评估风暴对配电系统的危害影响对于电力公司的备灾和快速响应变得越来越重要。在本文中，概率风暴模型的研究区域已经建立了挖掘160年的风暴事件记录在美国国家海洋和大气管理局的大西洋盆地飓风数据库（HURDAT）。此外，根据NOAA标准和IEEE标准，将风灾分为六类，以便于评估配电系统在不同灾害水平下的响应。所有类别的风暴的影响，准确地评估通过时序蒙特卡罗方法增强的时间风暴采样策略。对选定的典型配电系统进行的广泛研究表明，我们的模型和方法有效地揭示了研究区域风暴的危险影响，从而为建立更好的系统加固方案提供了有用的见解。
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.