A Measurement based Framework for Dynamic Equivalencing of Large-Scale Power Systems using Synchrophasors

使用同步相量的大型电力系统动态等效的基于测量的框架

• 批准号: 1001845
• 负责人: Aranya Chakrabortty
• 金额: $ 29.78万
• 依托单位: Texas Tech University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-05-15 至 2011-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1001845&HistoricalAwards=false
• 关键词: Measurement; based; Framework; Dynamic; Equivalencing

A Measurement based Framework for Dynamic Equivalencing of Large-Scale Power Systems using SynchrophasorsAranya ChakraborttyAbstract:The objective of this research is to develop a unified framework of analytical procedures by which simplified reduced-order electro-mechanical models of large power system networks can be identified, not by the traditional approach of modeling each individual component in the network, but by using dynamic data available from Phasor Measurement Units (PMUs) installed at only specific points in the network. The approach will be to use concepts of nonlinear circuit theory, fundamental physics and graph theory for such measurement-based model reduction, and for employing these models in wide-area monitoring and control. The results will be validated with PMU data from recent disturbance events in the US West coast power system and the East Texas grid in collaboration with American Electric Power and Southern California Edison.The intellectual merit of this research is in establishing a significantly novel application area of the PMU technology through its integration with dynamic system theory and network science. This will benefit power system protection engineers tremendously in interpreting meaningful information about the interconnected grid dynamics from overwhelming amounts of raw PMU data during critical emergencies.The broader impact of this project will be in providing a much-needed, timely infusion of control theoretic ideas to advance emerging research on synchrophasor-integrated next generation power grids, and in creating a national influence through a variety of outreach activities including journal publications, industrial collaborations with the Texas utilities, undergraduate research on smart grids, and power system education for underrepresented student groups from several minority institutions in West Texas.

基于测量的框架，用于使用同步量的大规模电力系统进行动态等效的框架，该研究的目的是开发一个分析程序的统一框架，通过该统一的分析程序框架可以通过使用传统的数据来确定每个人的组合方法，但可以通过在传统的数据进行模型中识别出简化的降低阶级电力机能的模型，但是可以通过在传统的数据进行模型，但是可以通过在传统的数据进行模型，但是可以通过模型来模拟整个个体，但可以通过在PHR上进行模型，但可以通过在网络中建模。 （PMU）仅在网络中的特定点安装。该方法将是使用非线性电路理论，基本物理学和图形论的概念来减少这种测量模型，并在大区域监测和控制中使用这些模型。该结果将通过美国西海岸电力系统的最新干扰事件和东德克萨斯电网与美国电力和南加州爱迪生的合作进行验证。这项研究的知识分子是通过与动态系统理论和网络理论和网络理论和网络理论相结合来建立PMU技术的新型应用领域。这将使电力系统保护工程师在解释有关在临界紧急情况下的大量RAW PMU数据中解释有关相互联系的网格动力学的有意义的信息，这将受益匪浅。该项目的更广泛影响将在提供急需的，及时的控制理论思想中，以推动对杂志的杂志进行跨性别的动力，并在综合上进行了跨性别的动力，并促进了跨性别的动力，并促进了跨性别的动力，并促进了杂志的范围。与得克萨斯州公用事业，智能电网的本科研究以及来自西德克萨斯州几个少数族裔机构的代表性不足的学生团体的电力系统教育。