On-line Tracking of Synchronous Machine Parameters and Turns Ratio of Windings from Operating Data

根据运行数据在线跟踪同步电机参数和绕组匝数比

• 批准号: 9204567
• 负责人: Ali Keyhani
• 金额: $ 16万
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-09-01 至 1995-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9204567&HistoricalAwards=false
• 关键词: line; Tracking; Synchronous; Machine; Parameters

The objective are to develop a body of knowledge in methodology and analytical tools for on-line tracking of the synchronous machine parameters and turns ratio of stator and field windings from the standpoint of system identification. The significance of this research is that engineers at utility companies can use the proposed estimation technique to identify the machine parameters for use in power systems planning and stability studies. Furthermore, by tracking the machine parameters and turns ratio of stator and field windings, the incipient faults of synchronous machines can be detected in real-time. The on-line detection of imminent failure will facilitate orderly shut-down of the generator for repair. In addition, by avoiding forced outage, the control power system is assured. Finally, the results of this research can be used by power system control engineers to accurately predict and control the dynamic performance of electronically controlled future power systems.

其目的是从系统辨识的角度开发一套方法和分析工具的知识体系，用于在线跟踪同步电机参数和定子和励磁绕组的匝比。这项研究的意义在于，公用事业公司的工程师可以使用所提出的估计技术来识别用于电力系统规划和稳定性研究的机器参数。此外，通过跟踪电机参数和定子绕组与励磁绕组的匝数比，可以实时检测同步电机的早期故障。对即将发生的故障的在线检测将有助于发电机有序停机进行维修。此外，通过避免强制停电，控制电力系统得到了保证。最后，本文的研究结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。