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: 1062811
• 负责人: Aranya Chakrabortty
• 金额: $ 28.3万
• 依托单位: North Carolina State 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: 2010-09-01 至 2015-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1062811&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.

一个基于测量的框架，用于大规模电力系统的动态等值使用SynchrophasorsAranya Chakrabortty摘要：本研究的目的是开发一个统一的框架的分析程序，简化的降阶机电模型的大型电力系统网络可以识别，而不是由传统的方法建模的网络中的每个单独的组件，但通过使用动态数据从相量测量单元（PMU）安装在网络中的特定点。该方法将使用非线性电路理论，基础物理和图论的概念，这种测量为基础的模型减少，并采用这些模型在广域监测和控制。研究结果将通过与美国电力公司和南加州Edison公司合作的美国西海岸电力系统和东德克萨斯电网最近扰动事件的PMU数据进行验证，这项研究的智力价值在于通过与动态系统理论和网络科学的结合，建立了PMU技术的一个显着新颖的应用领域。这将使电力系统保护工程师在关键紧急情况下从大量原始PMU数据中解读有关互联电网动态的有意义信息方面受益匪浅。该项目的更广泛影响将是提供急需的、及时的控制理论思想注入，以推进同步相量集成下一代电网的新兴研究，并通过各种外展活动，包括期刊出版物，与德克萨斯州公用事业公司的工业合作，智能电网的本科生研究，以及来自西德克萨斯州几个少数民族机构的代表性不足的学生群体的电力系统教育，创造了全国性的影响力。