CAREER: Intelligent Information Processing for Power Systems

职业：电力系统智能信息处理

• 批准号: 9985119
• 负责人: Dagmar Niebur
• 金额: $ 19.98万
• 依托单位: Drexel University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-07-01 至 2005-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9985119&HistoricalAwards=false
• 关键词: CAREER; Intelligent; Information; Processing; Power

This proposal the question of how an electric power utility can extract information about the composition of the instantaneous load without having to introduce a multitude of additional measurements is studied. A statistical method to be employed allows to separate individual loads out of the aggregate of existing measurements. These measurements are usually superposition of different types of loads and generators, as obtained, for instance, at a substation level. The method called "Blind Source Separation" or "Independent Component Analysis" (ICA) requires only minimal assumptions, like independence of loads and linear superposition of currents, which can be assumed due to the basic properties of load distribution in realistic power networks. ICA has been applied successfully for the solution of technical problems previously, and, although it has never been employed for power systems, preliminary data given indicate that the method provides a powerful and reliable way of achieving load profile separation and identification. It is also conjectured that this method is suitable for harmonic injection identification. More generally, it is suggested that ICA may become a powerful method to achieve dimensionality reduction of data in a multitude of applications in power system analysis, operations and control.

这个建议的问题，电力公司如何可以提取信息的组成的瞬时负载，而不必引入大量的额外的测量进行了研究。 采用的统计方法允许从现有测量值的集合中分离出单个负载。 这些测量通常是不同类型的负载和发电机的叠加，例如在变电站级别获得的。 称为“盲源分离”或“独立分量分析”（伊卡）的方法只需要最少的假设，如负载的独立性和电流的线性叠加，这可以假设由于在现实的电力网络中的负载分布的基本属性。 伊卡已成功地应用于解决以前的技术问题，而且，虽然它从来没有被用于电力系统，初步数据表明，该方法提供了一个强大的和可靠的方式来实现负荷剖面分离和识别。 该方法适用于谐波注入的识别。 更一般地说，它建议伊卡可能成为一个强大的方法来实现降维的数据在电力系统分析，操作和控制的众多应用。