Katrina SGER: Data Collection for Estimating Disruption and its causes of Power Quality by Hurricane Katrina

Katrina SGER:用于估计卡特里娜飓风造成的电能质量中断及其原因的数据收集

基本信息

  • 批准号:
    0554156
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2005
  • 资助国家:
    美国
  • 起止时间:
    2005-10-01 至 2007-03-31
  • 项目状态:
    已结题

项目摘要

All of the people over the world are deeply saddened by the devastation and suffering of the people in the areas affected by hurricane Katrina. Millions of people from the Gulf Coast are suffering from Hurricane Katrina's devastation. After the Hurricane Katrina, we have to execute a quantitative investigation of the performance of electric power distribution systems in the affected areas. As to the affected power distribution systems, the most sever disruption by Hurricane Katrina is the physical damages on power grids.Another sever effects by Hurricane Katrina is the disruption of power quality during and after the Hurricane Katrina. Because of the outages and unreasonable load/generation pattern of the remaining electric power networks, customers have to suffer a power supply with poor power quality before the system is entirely restored.Although the disruption on power quality seems not as sever as the physical damages on power system components, and it is not easy to obviously relate the disruption of power quality to the monetary value, the estimate of disruption of power quality is also important because, no efforts will be made to minimize the disruption of Hurricane Katrina on power quality unless people realize its extent. The data collection and analysis will yield a chance for people to realize the disruption extent of Hurricane Katrina on power quality.There are many factors, for example, hurricane-related winds, rainfall and spatial configuration of power systems, causing the faults which further lead to the disruption of power quality. In order to study the causes of the disruption of power quality by Hurricane Katrina, data regarding these factors need to be collected.This proposal is aimed to collect the following two groups of data:1). Data of Disruption of Power Quality2). Data of Causes of Power Quality Disruption
全世界人民对卡特里娜飓风灾区人民遭受的破坏和痛苦深感悲痛。墨西哥湾沿岸数百万人正遭受卡特里娜飓风的破坏。卡特里娜飓风过后,我们必须对受灾地区的配电系统的性能进行定量调查。就受影响的配电系统而言,卡特里娜飓风最严重的破坏是对电网的物理破坏,卡特里娜飓风的另一个严重影响是对卡特里娜飓风期间和之后的电能质量的破坏。由于剩余电网的停电和不合理的负荷/发电模式,在系统完全恢复之前,用户不得不遭受电能质量差的供电。虽然电能质量的破坏似乎不像电力系统部件的物理损坏那么严重,并且不容易将电能质量的破坏与货币价值明显联系起来,对电能质量破坏的估计也很重要,因为除非人们意识到卡特里娜飓风对电能质量的破坏程度,否则将不会做出任何努力来最小化卡特里娜飓风对电能质量的破坏。数据的收集和分析将使人们有机会认识到卡特里娜飓风对电能质量的破坏程度,有许多因素,如飓风相关的风,降雨和电力系统的空间配置,导致故障,进一步导致电能质量的破坏。为了研究卡特里娜飓风对电能质量造成破坏的原因,需要收集有关这些因素的数据。本提案旨在收集以下两组数据:1)。电能质量中断数据2)。电能质量事故原因数据

项目成果

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Bei Gou其他文献

Generalized Integer Linear Programming Formulation for Optimal PMU Placement

Bei Gou的其他文献

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{{ truncateString('Bei Gou', 18)}}的其他基金

SBIR Phase II: A Robust State Estimator For Power Grids
SBIR 第二阶段:稳健的电网状态估计器
  • 批准号:
    1660022
  • 财政年份:
    2017
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
SBIR Phase I: A Robust State Estimator For Power Grids
SBIR 第一阶段:稳健的电网状态估计器
  • 批准号:
    1519498
  • 财政年份:
    2015
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
SBIR Phase I: A Robust Real-time Topology Estimator for Power Grids
SBIR 第一阶段:强大的实时电网拓扑估计器
  • 批准号:
    1315374
  • 财政年份:
    2013
  • 资助金额:
    --
  • 项目类别:
    Standard Grant

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