课题基金 / 基金详情

Identification of Round Rotor Generator Stability Constants from Operating Data

Identification of Round Rotor Generator Stability Constants from Operating Data
从运行数据辨识圆转子发电机稳定性常数
批准号:
9625662
负责人:
Ali Keyhani
金额:
$15.87万
依托单位国家:
美国
项目类别:
Continuing grant
财政年份:
1996
资助国家:
美国
项目状态:
已结题
起止时间:
1996-10-01 至 2000-09-30

项目摘要

项目成果

Ali Keyhani的其他基金

相似基金

相关文献

中文摘要
翻译
在未来的几十年里,由于几乎没有新的输电线路建设,美国的电力系统将面临大容量电力传输的瓶颈。为了应对日益增长的大规模电力传输和第三方接入,现有设施的利用率不断提高,这将需要更密切地关注系统稳定性要求。此外,随着越来越多基于晶闸管的控制器(包括移相器、先进的静态无功补偿器和调制器串联电容器)被用于控制大容量电网,将需要精确的发电机动态模型来精确控制大容量输电系统。计算机技术的迅速发展为电力系统的计算机化仪表提供了便利。在未来几年内,电力系统将由分散控制结构中的许多计算机进行监测和操作。发电厂将安装计算机来监测发电机的输入和输出响应。运行响应可用于发电机模型的开发和关键参数的跟踪,用于早期故障检测。本项目的目标是开发一种基于电力系统扰动产生的运行数据识别圆转子发电机模型的新技术。该项目的运营数据将由亚利桑那州公共服务公司(APS)为全罗拉和四角单位提供(APS支持信见H部分)。利用信号处理和系统辨识的方法,发展从运行数据估计圆转子发电机稳定参数的技术。所提出的研究的意义在于,公用事业公司的工程师可以使用所提出的技术开发用于电力系统控制和稳定性研究的发电机模型。此外,通过跟踪电机参数以及定子绕组和励磁绕组的匝数比,可以实时检测同步电机的早期故障。最后,本文的研究成果可供电力系统控制工程师准确预测和控制未来电控电力系统的动态性能。***
英文摘要
9625662 Keyhani In the next few decades, the power systems of the United States will face bottlenecks in transferring bulk power due to the virtual absence of new transmission line construction. The increased utilization of existing facilities to cope with the growing magnitude of bulk power transfers and third-party access will require a closer look at system stability requirements. In addition, as more thyristor-based controllers, including phase shifters, advanced static VAR compensators, and modulator series capacitors, are used to control bulk power networks, accurate dynamic models of generators, will be required for precise control of bulk power transmission systems. Rapid development in computer technology has facilitated computerized instrumentation of power systems. In the next few years, power systems will be monitored and operated by many computers in a decentralized control structure. Computers will be installed in power plants to monitor the input and output responses of the generators. The operating responses can be used for the development of generator models and tracking of key parameters for incipient failure detection. The objectives of this project are to develop a new technology for identification of round rotor generator models based on operating data resulting from disturbances occurring in power systems. The operating data for this project will be provided by Arizona Public Service Company (APS) for Cholla and Four Corners units (see Section H for APS letter of support). Signal processing and system identification methods will be used to develop the technology for estimation of stability parameter of the round rotor generators from the operating data. The significance of the proposed research is that engineers at utility companies can use the proposed technology to develop generator models for use in power system control and stability studies. Furthermore, by tracking the machine parameters and turns ratio of stator and f ield windings, the incipient faults of synchronous machines can be detected in real time. Finally, the results of this research can be used by the power systems control engineers to accurately predict and control the dynamic performance of electronically-controlled future power systems. ***
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: Modeling and Control of Fuel Cell Based Distributed Energy Systems
GOALI: Intelligent Leader Follower Systems for Control of Energy Services
Advanced Load Modeling
Neural Network Observers for Tracking Synchronous Machine Parameters and Incipient Failure Detection
海外基金