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.

目前正在提出两个项目。第一个领域是应用于电力系统的稳健估计理论。电力系统的安全监测和控制有赖于可靠的数据库。不幸的是，在典型的电力系统中存在不良测量、参数错误和/或拓扑错误。目前的行业做法是使用加权最小二乘法，这种方法对大误差没有容忍度，经常失败。在这一点上，稳健估计理论具有优势，但要使该方法实用，还需要做一些工作。其中需要进一步将该理论扩展到稀疏矩阵，并确定适当的“高崩溃点”估计器。其他需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量测量进行电压和暂态稳定监测和控制，包括电力系统紧急状态下的动态安全分析和自动控制。