New Methods of Fault Simulation and Location for Smart Grids Based on Synchronized Measurements

基于同步测量的智能电网故障模拟与定位新方法

基本信息

  • 批准号:
    1128383
  • 负责人:
  • 金额:
    $ 40万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-10-01 至 2016-09-30
  • 项目状态:
    已结题

项目摘要

Research Objectives and ApproachesThe objective of this research is to develop an accurate and computationally efficient technique in order to locate and identify faults in power systems using synchronized measurements. The approach is to capture the arrival times of the fault-initiated traveling waves using a few synchronized sensors and triangulating the location of the fault based on the recorded arrival times of these waves.Intellectual MeritThe intellectual merit of the proposal is the utilization of synchronized voltage samples recorded by sparsely placed sensors in order to accurately determine the location of faults in power systems. Current utilization of these sensors is confined to synchronized phasors. This project will utilize for the first time the point-on-wave samples which are synchronized throughout the entire power system. This will be transformative leading to new applications that can exploit information related to traveling waves on power lines.Broader ImpactsThis project will expand the application areas for synchronized measurements which arerapidly being deployed in increasing numbers in smart grids. This will have an impact on the new investments on system protection and quality of service for all major utilities in the country. Two graduate students will be trained in the area of electric grids, crucialto designing nation's future energy system. Furthermore, project's results will be incorporated into the curriculum through lab exercises. Also, students from underrepresented groups will be targeted through the university's STEMteams, NUPrime (multi-cultural engineering) and WIE (women in engineering) programs and supported by REU supplements.
研究目标和方法本研究的目的是开发一种精确的、计算效率高的技术,以便使用同步测量来定位和识别电力系统中的故障。该方法是利用几个同步传感器捕捉断层引发的行波的到达时间,并根据记录的行波到达时间对断层的位置进行三角测量。该方案的智能优点是利用稀疏分布的传感器记录的同步电压样本,以便准确地确定电力系统故障的位置。目前这些传感器的使用仅限于同步相量。该项目将首次利用在整个电力系统中同步的波点采样。这将带来变革性的变化,导致新的应用程序可以利用与电力线上的行波相关的信息。更广泛的影响该项目将扩大同步测量的应用领域,同步测量正在智能电网中迅速部署。这将对该国所有主要公用事业的系统保护和服务质量的新投资产生影响。两名研究生将在电网领域接受培训,这对设计国家未来的能源系统至关重要。此外,项目成果将通过实验练习纳入课程。此外,来自代表性不足群体的学生将通过大学的stem团队、NUPrime(多元文化工程)和WIE(工程中的女性)项目作为目标,并得到REU补充的支持。

项目成果

期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
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Ali Abur其他文献

Convolutional Neural Network-assisted fault detection and location using few PMUs
  • DOI:
    10.1016/j.epsr.2024.110705
  • 发表时间:
    2024-10-01
  • 期刊:
  • 影响因子:
  • 作者:
    Tuna Yildiz;Ali Abur
  • 通讯作者:
    Ali Abur
Multi-area parameter error identification for large power systems
  • DOI:
    10.1016/j.epsr.2022.108377
  • 发表时间:
    2022-11-01
  • 期刊:
  • 影响因子:
  • 作者:
    Ramtin Khalili;Ali Abur
  • 通讯作者:
    Ali Abur
Specifying angular reference for robust three-phase state estimation
  • DOI:
    10.1016/j.ijepes.2024.109945
  • 发表时间:
    2024-07-01
  • 期刊:
  • 影响因子:
  • 作者:
    Ugur Can Yilmaz;Ali Abur
  • 通讯作者:
    Ali Abur
A tracking estimator for the firing angle of the Thyristor Controlled Series Capacitors (TCSC)
  • DOI:
    10.1016/j.epsr.2004.10.002
  • 发表时间:
    2005-04-01
  • 期刊:
  • 影响因子:
  • 作者:
    Yunqiang Lu;Ali Abur
  • 通讯作者:
    Ali Abur
Effect of Phasor Measurements on the Choice of Reference Bus for State Estimation
相量测量对状态估计参考总线选择的影响

Ali Abur的其他文献

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{{ truncateString('Ali Abur', 18)}}的其他基金

Robust Transient State Estimation for Three-Phase Power Systems
三相电力系统的鲁棒瞬态估计
  • 批准号:
    2330377
  • 财政年份:
    2024
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
A Comprehensive Approach to Monitoring Active Distribution Systems
监控主动配电系统的综合方法
  • 批准号:
    2137282
  • 财政年份:
    2021
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Travel Grant for North American Power Symposium 2011 to be held in Boston, MA August 4-6, 2011
2011 年北美电力研讨会旅行补助金将于 2011 年 8 月 4 日至 6 日在马萨诸塞州波士顿举行
  • 批准号:
    1145342
  • 财政年份:
    2011
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Customized Wavelets for Analysis of Fault Transients in Power Systems
用于电力系统故障暂态分析的定制小波
  • 批准号:
    0824005
  • 财政年份:
    2008
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Multi-Area Monitoring and Transfer Capability Calculations in Restructured Power Systems
重组电力系统中的多区域监测和传输能力计算
  • 批准号:
    0629887
  • 财政年份:
    2005
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Multi-Area Monitoring and Transfer Capability Calculations in Restructured Power Systems
重组电力系统中的多区域监测和传输能力计算
  • 批准号:
    0400760
  • 财政年份:
    2004
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Traveling Wave Based Fault Location for Complex Network Topologies
复杂网络拓扑中基于行波的故障定位
  • 批准号:
    9821090
  • 财政年份:
    1999
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Analysis of Network Observability for Systems Containing Ampere Measurements
包含安培测量的系统的网络可观测性分析
  • 批准号:
    9500118
  • 财政年份:
    1995
  • 资助金额:
    $ 40万
  • 项目类别:
    Continuing Grant
Engineering Research Initiation Grant: A New Approach to Obtaining a Robust Power System State Estimator
工程研究启动资助:获得鲁棒电力系统状态估计器的新方法
  • 批准号:
    8909752
  • 财政年份:
    1989
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant

相似国自然基金

Computational Methods for Analyzing Toponome Data
  • 批准号:
    60601030
  • 批准年份:
    2006
  • 资助金额:
    17.0 万元
  • 项目类别:
    青年科学基金项目

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Accurate Fault Location Methods for Complex Power Networks
复杂电网故障精确定位方法
  • 批准号:
    DE230100056
  • 财政年份:
    2023
  • 资助金额:
    $ 40万
  • 项目类别:
    Discovery Early Career Researcher Award
Development of datasets, inverse models, and methods for adaptive fault detection and diagnostics in commercial buildings
开发商业建筑自适应故障检测和诊断的数据集、逆模型和方法
  • 批准号:
    RGPIN-2017-06317
  • 财政年份:
    2022
  • 资助金额:
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  • 项目类别:
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Development of datasets, inverse models, and methods for adaptive fault detection and diagnostics in commercial buildings
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  • 财政年份:
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Development of datasets, inverse models, and methods for adaptive fault detection and diagnostics in commercial buildings
开发商业建筑自适应故障检测和诊断的数据集、逆模型和方法
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用同步加速器方法检查断层滑动表面的温度和微观地球化学过程
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