NSF Young Investigator

NSF 青年研究员

• 批准号: 9257204
• 负责人: Lamine Mili
• 金额: $ 32.17万
• 依托单位: Virginia Polytechnic Institute and State University
• 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 1999-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9257204&HistoricalAwards=false
• 关键词: NSF; Young; Investigator

Two projects are being proposed. The first is in the area of robust estimation theory as applied to power systems. Security monitoring and control of an electric power system depend on a reliable data base. Unfortunately, in a typical power system there are bad measurements, parameter errors, and/or topology errors. The present industry practice is to use a weighted least squares approach which has no tolerance for large errors and frequently fails. In this connection robust estimation theory has advantages but work needs to be done to make the method practical. Among these are the need to further the extension of the theory to sparse matrices and to determine appropriate "high breakdown point" estimators. Other issues to be addressed include real-time estimation and optimal sensor location. The second area of research concerns the use of real-time phasor measurements for voltage and transient stability monitoring and control, including dynamic security analysis and automatic control during an emergency state of a power system.

提出了两个项目。 首先是适用于电力系统的强大估计理论领域。 电力系统的安全监控和控制取决于可靠的数据库。 不幸的是，在典型的电源系统中，有不良的测量，参数错误和/或拓扑错误。 当前的行业实践是使用一种加权的最小二乘方法，该方法对大错误没有容忍，并且经常失败。 在这方面，强大的估计理论具有优势，但需要做出使方法实用的工作。 其中需要进一步扩展理论到稀疏矩阵并确定适当的“高分点”估计量。 其他要解决的问题包括实时估计和最佳传感器位置。 第二个研究领域涉及使用实时相分子测量值进行电压和瞬态稳定性监控和控制，包括动态安全分析和电源系统紧急状态下的自动控制。