US Ignite: Track 1: Collaborative Research: DISTINCT: A Distributed Multi-Loop Networked System for Wide-Area Control of Large Power Grids

US Ignite：轨道 1：合作研究：DISTINCT：用于大型电网广域控制的分布式多环网络系统

• 批准号: 1620871
• 负责人: Kaiqi Xiong
• 金额: $ 15万
• 依托单位: University of South Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1620871&HistoricalAwards=false
• 关键词: US; Ignite; Track; Collaborative; Research; US; Ignite; Track; Collaborative; Research

Following the Northeast blackout of 2003 tremendous efforts have been made to modernize the electric power infrastructure of the United States by installing sophisticated, digital sensors called Phasor Measurement Units. These sensors continuously track the health of large, complex power grids with high accuracy. However, as the number of these sensors increases up into the thousands, grid operators are struggling to understand how the gigantic volumes of data can be efficiently communicated to control centers for taking timely control actions, especially in face of critical grid disturbances. Developing a reliable wide-area communication network that guarantees just-in-time data delivery is the greatest challenge. Unfortunately, neither the architecture of such networks nor the impacts of delays and data losses on control actions are well understood. This project will address this gap, and develop a highly resilient, fault-tolerant, and reliable distributed network control system for tomorrow's power grids using cutting-edge emerging technologies, such as cloud computing and software defined networks. Power systems are a critical infrastructural component in modern society. Therefore, results of this research will have a tremendous scientific impact on the smart grid and smart city research communities. The proposed multidisciplinary approach, test bed prototyping, and industry collaborations will help in educating next-generation workforce in the fields of smart grids and cyber-physical systems. Overcoming network-induced latencies, data losses, and bandwidth limitations is the key for successful deployment of at-scale wide-area control of power systems. The merit of this research lies in the development of a distributed networked control system infrastructure that addresses all of these concerns. The approach encompasses multiple disciplines, ranging from power systems to control systems to advanced networking and cloud computing technologies. The proposed architecture will be realized via three interactive layers. Layer 1 will consist of physics-based controllers for power oscillation damping. Layer 2 will contain delay control rules for the communication network that work in tandem with the grid controllers. Layer 3 will consist of a supervisory controller realized through embedding and reconfiguration rules in a distributed cloud environment that continuously monitors the system status, and ensures fault-tolerance, resilience, and reliability of the overall closed-loop control system. The project team will also develop an integrated software and hardware testbed with open interfaces that can be used by other educational institutions.

在2003年东北停电之后，已经通过安装称为相sor测量单元的复杂的数字传感器，为美国的电力基础设施进行了现代化的巨大努力。这些传感器以高精度不断地跟踪大型复杂电网的健康状况。但是，随着这些传感器的数量增加到成千上万，网格运营商正在努力了解如何有效地传达巨大的数据量，以控制中心，以及时控制控制动作，尤其是面对严重的网格干扰。开发一个可靠的广阔通信网络，以确保即时数据传输是最大的挑战。不幸的是，这些网络的体系结构均未充分了解延迟和数据丢失对控制动作的影响。该项目将解决此差距，并使用尖端的新兴技术（例如云计算和软件定义的网络）开发出高度弹性，容忍和可靠的分布式网络控制系统。电力系统是现代社会中关键的基础设施组成部分。因此，这项研究的结果将对智能网格和智能城市研究社区产生巨大的科学影响。拟议的多学科方法，测试床原型制作和行业合作将有助于教育智能电网和网络物理系统领域的下一代劳动力。 克服网络引起的潜伏期，数据损失和带宽限制是成功部署电力系统广泛部门控制的关键。这项研究的优点在于开发分布式网络控制系统基础架构，该基础设施解决了所有这些问题。该方法包括多个学科，从电力系统到控制系统再到高级网络和云计算技术。所提出的架构将通过三个交互层实现。第1层将由基于物理的控制器组成，用于振荡阻尼。第2层将包含与网格控制器同时使用的通信网络的延迟控制规则。第3层将包括通过在分布式云环境中嵌入和重新配置规则实现的监督控制器，该规则不断监视系统状态，并确保整体闭环控制系统的故障容忍度，韧性和可靠性。项目团队还将开发一个集成的软件和硬件测试，其开放界面可以由其他教育机构使用。