Stability of Large Scale Power Systems with High Order Model Reduction

高阶模型降维大型电力系统的稳定性

• 批准号: 8719055
• 负责人: M. Pai
• 金额: $ 33.93万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-04-15 至 1991-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8719055&HistoricalAwards=false
• 关键词: Stability; Large; Scale; Power; Systems

The objective of this research is to integrate the concepts of dynamic and static security assessment. The integration begins by examining the relationship between load-flow equilibrium solutions and steady state stability analysis techniques. The integration process continues by relating sensitivities of transient stability margins to steady- state parameter values. Modeling issues arise throughout the study in terms of reduced-order models, system equivalents, and other simplifications. These formal, time-scale methods used by the proposers will add a firm mathematical framework to the ad-hoc engineering approximations now in existence for evaluating the static and/or transient character of a large-scale interconnected power system.

本研究的目的是整合动态的概念， 静态安全评估。 集成首先检查 潮流平衡解与稳态解之间的关系 状态稳定性分析技术 一体化进程仍在继续 通过将暂态稳定裕度的灵敏度与稳态 状态参数值。 建模问题在整个研究中出现， 降阶模型、系统等价物和其他 简化。 这些正式的，时间尺度的方法所使用的 提案者将为特设的数学框架增加一个坚实的数学框架， 工程近似现在存在的评估静态 和/或大规模互联电源的瞬态特性 系统