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Reliability assessment of the Florida electric power network system against hurricanes.

机译:佛罗里达州电力系统抗飓风的可靠性评估。

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摘要

This study aims to describe the regional performance of the electric power distribution systems (EPDS) against hurricane hazards with theories based on the uncertainty. The uniqueness of this study is that the damage assessment models were proposed along with eight critical devices, i.e. transformers, fuses, reclosers, service lines, feeders, sectionalizers, terminal poles, and switchgears and the Customers Minutes Interrupted (CMI) were able to be estimated. Trees were revealed as the most significant factor to cause power outages. Wind momentum and rainfall were also verified as major contributing factors. In terms of the extent of damage, the number of device breaks (NB) as well as the CMI could be assessed with statistical and stochastic models. The proposed model using two estimable models was examined and determined to be valid for describing power outages. Although this study aimed to describe the power disturbance with measured/recorded weather, tree, and power outage data for a participating power distribution company’s service area, the methodologies as well as proposed damage assessment models could be more widely used to predict the areas serviced by other companies. Furthermore, these ways can be used for indentifying relatively vulnerable or safe zones against hurricanes with a hurricane simulation model. Ultimately, the outcomes of this study can be used to calculate the damage and restoration costs with predicted values of CMI and NB, respectively, so that they help in finding out the cost analysis in order to determine whether an overhead or an underground line is better.
机译:这项研究旨在基于不确定性来描述针对飓风危害的配电系统(EPDS)的区域性能。这项研究的独特之处在于,提出了损坏评估模型以及八种关键设备,即变压器,熔断器,重合闸,服务线,馈线,分段器,接线柱和开关柜,并且客户分钟中断(CMI)可以估计。树木被认为是造成停电的最重要因素。风动量和降雨也被证实是主要的影响因素。就损坏程度而言,可以使用统计模型和随机模型评估设备损坏(NB)的数量以及CMI。使用两个可估计模型对提议的模型进行了检查,并确定其对于描述停电有效。尽管此研究旨在通过测量/记录的天气,树木和停电数据为参与配电公司的服务区域描述电源干扰,但方法和建议的损害评估模型可以更广泛地用于预测由服务公司提供服务的区域其他公司。此外,这些方法可用于通过飓风模拟模型识别相对脆弱或安全的飓风区域。最终,该研究的结果可分别用于计算具有CMI和NB预测值的破坏和修复成本,以便它们有助于找出成本分析,从而确定架空线或地下线路是否更好。

著录项

  • 作者

    Park, Young Jun.;

  • 作者单位

    University of Florida.;

  • 授予单位 University of Florida.;
  • 学科 Engineering Civil.;Meteorology.;Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 105 p.
  • 总页数 105
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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