Sequence component models to calculate fault current contributions from wind generators
用于计算风力发电机故障电流贡献的序列组件模型
基本信息
- 批准号:1028546
- 负责人:
- 金额:$ 15.32万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-09-15 至 2014-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
SEQUENCE COMPONENT MODELS TO CALCULATE FAULT CURRENT CONTRIBUTIONS FROM WIND GENERATORSABSTRACTThe objective of this research is to develop new dynamic sequence component models for doubly-fed induction wind generators in order to calculate the positive, negative and zero sequence currents from such large wind plants to a grid fault. The approach is to simulate these faults in the time domain using accurate machine and power electronic models, and develop their sequence component models in the frequency domain. Protection relays measure the sequence component currents, but until now utility protection engineers have not been able to accurately calculate relay settings at the nodes where wind plants are connected to the utility network. When the wind generator circuit topology changes within the milli-second range, it is necessary to have time varying or dynamic sequence component models based and adapting this information to relay settings will be a fundamentally new area to power engineering. This method could also be applied to other three phase systems and machines, and even lead to completely new relay designs. Reliable and secure electricity is the backbone of society. Incorrect relay settings based on incorrect sequence modeling, can lead to failure to interrupt faults, or to nuisance tripping of the power. Failure to interrupt could in turn lead to personal injury, or severe damage to equipment. The results will be disseminated through publications and various IEEE Working Groups, and included in a graduate level course on electrical machines taught by Dr. Harley. Two undergraduate minority students from the Opportunity Scholars Program (OSP) at Georgia Tech will be involved.
序列成分模型以计算Wind GeneratorsAbstractrestrats的故障电流贡献本研究的目标是为双馈感应的感应风发电机开发新的动态序列组件模型,以便计算从如此大的风电厂到网格故障的正,负和零序列电流。该方法是使用精确的机器和电源电子模型在时域中模拟这些故障,并在频域中开发其序列组件模型。保护继电器测量序列组件电流,但到目前为止,公用事业保护工程师还无法准确计算连接风电厂连接到公用事业网络的节点的中继设置。 当风生成器电路拓扑在毫秒范围内发生变化时,有必要在基于变化或动态序列组件模型的时间变化或将此信息调整为中继设置,这是动力工程的根本新领域。该方法也可以应用于其他三个相系统和机器,甚至可以实现全新的继电器设计。 可靠且安全的电力是社会的骨干。基于错误序列建模的不正确继电器设置可能导致无法中断故障或功率的滋扰。不上断可能导致人身伤害或对设备的严重损坏。结果将通过出版物和各种IEEE工作组传播,并包括在Harley博士教授的电气机的研究生级课程中。佐治亚理工学院的机会学者计划(OSP)的两名本科少数族裔学生将参与其中。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ronald Harley其他文献
Approximate dynamic programming based supplementary reactive power control for DFIG wind farm to enhance power system stability
基于近似动态规划的双馈风电场补充无功控制增强电力系统稳定性
- DOI:
10.1016/j.neucom.2015.03.089 - 发表时间:
2015-12 - 期刊:
- 影响因子:6
- 作者:
Guo Wentao;Feng Liu;Jennie Si;Dawei He;Ronald Harley;Shengwei Mei - 通讯作者:
Shengwei Mei
Ronald Harley的其他文献
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{{ truncateString('Ronald Harley', 18)}}的其他基金
Collaborative Research: Planning Grant: I/UCRC for Real-Time Intelligence for Smart Electric Grid Operations (RISE)
合作研究:规划资助:I/UCRC 智能电网运营实时智能 (RISE)
- 批准号:
1464603 - 财政年份:2015
- 资助金额:
$ 15.32万 - 项目类别:
Standard Grant
Student Support for IEMDC 2013 Conference Participation. To be Held May 12-15,2013 in Chicago, IL.
学生参与 IEMDC 2013 会议的支持。
- 批准号:
1338551 - 财政年份:2013
- 资助金额:
$ 15.32万 - 项目类别:
Standard Grant
Collaborative Research: Computational Intelligence Methods For Dynamic Stochastic Optimization Of Smart Grid Operation With High Penetration Of Renewable Energy
合作研究:可再生能源高渗透智能电网运行动态随机优化的计算智能方法
- 批准号:
1232031 - 财政年份:2012
- 资助金额:
$ 15.32万 - 项目类别:
Standard Grant
GOALI: Neural Networks and Adaptive Critic Designs For Energy Security and Sustainability
GOALI:用于能源安全和可持续性的神经网络和自适应批评设计
- 批准号:
0802047 - 财政年份:2008
- 资助金额:
$ 15.32万 - 项目类别:
Standard Grant
Neural Networks for Estimating and Compensating the Nonlinear Characteristics of Nonstationary Complex Systems
用于估计和补偿非平稳复杂系统非线性特性的神经网络
- 批准号:
0601521 - 财政年份:2006
- 资助金额:
$ 15.32万 - 项目类别:
Standard Grant
Planning visit to Mexico: Intelligent Techniques to Operation, Control and Diagnosis of Power Plants and Power Systems Including FACTS Devices
计划访问墨西哥:包括FACTS设备在内的发电厂和电力系统的运行、控制和诊断的智能技术
- 批准号:
0519161 - 财政年份:2005
- 资助金额:
$ 15.32万 - 项目类别:
Standard Grant
Integrated Control of Wind Farms, Facts Devices and the Power Network Using Neural Networks and Adaptive Critic Designs
使用神经网络和自适应批评设计对风电场、事实设备和电力网络进行集成控制
- 批准号:
0524183 - 财政年份:2005
- 资助金额:
$ 15.32万 - 项目类别:
Standard Grant
Workshop on Global Dynamic Optimization of the Electric Power Grid in Atlanta, GA
佐治亚州亚特兰大电网全球动态优化研讨会
- 批准号:
0224592 - 财政年份:2002
- 资助金额:
$ 15.32万 - 项目类别:
Standard Grant
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