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

• 批准号: 1028546
• 负责人: Ronald Harley
• 金额: $ 15.32万
• 依托单位: Georgia Tech Research Corporation
• 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: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1028546&HistoricalAwards=false
• 关键词: Sequence; component; models; calculate; fault

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.

本研究的目的是开发新的动态序分量模型的双馈感应风力发电机，以计算正，负和零序电流从这样的大型风力发电厂电网故障的故障。该方法是模拟这些故障在时域内使用精确的机器和电力电子模型，并开发其在频域中的序分量模型。保护继电器测量序分量电流，但到目前为止，公用事业保护工程师还无法准确计算风电场连接到公用事业网络的节点处的继电器设置。 当风力发电机电路拓扑结构在毫秒范围内变化时，有必要基于时变或动态序列分量模型，并将此信息与继电器设置相适应，这将是电力工程的一个全新领域。该方法也可应用于其它三相系统和电机，甚至可导致全新的继电器设计。 可靠和安全的电力是社会的支柱。基于不正确的序列建模的不正确的继电器设置可能导致无法中断故障，或导致电源的误跳闸。不中断可能会导致人身伤害或严重损坏设备。结果将通过出版物和各种IEEE工作组传播，并包括在哈雷博士教授的电机研究生课程中。两名来自格鲁吉亚理工学院机会学者项目（OSP）的少数民族本科生将参与其中。