CPS: Synergy: Collaborative Research: Distributed Asynchronous Algorithms and Software Systems for Wide-Area Monitoring of Power Systems

CPS：协同：协作研究：用于电力系统广域监控的分布式异步算法和软件系统

• 批准号: 1329681
• 负责人: Nitin Vaidya
• 金额: $ 40万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1329681&HistoricalAwards=false
• 关键词: CPS; Synergy; Collaborative; Research; Distributed

The objective of this proposal is to develop a distributed algorithmic framework, supported by a highly fault-tolerant software system, for executing critical transmission-level operations of the North American power grid using gigantic volumes of Synchrophasor data. As the number of Phasor Measurement Units (PMU) increases to more than thousands in the next 4-5 years, it is rather intuitive that the current state-of-the-art centralized communication and information processing architecture of Wide-Area Measurement System (WAMS) will no longer be sustainable under such data-explosion, and a completely distributed cyber-physical architecture will need to be developed. The North American Synchrophasor Initiative (NASPI) is currently addressing this architectural aspect by developing new communication and computing protocols through NASPI-net and Phasor Gateway. However, very little attention has been paid so far to perhaps the most critical consequence of this envisioned distributed architecture "namely", distributed algorithms, and their relevant middleware. Our primary task, therefore, will be to develop parallel computational methods for solving real-time wide-area monitoring and control problems with analytical investigation of their stability, convergence and robustness properties, followed by their implementation and testing against extraneous malicious attacks using our WAMS-RTDS testbed at NC State. In particular, we will address three critical research problems "namely" distributed wide-area oscillation monitoring, transient stability assessment, and voltage stability monitoring.The intellectual merit of this research will be in establishing an extremely timely application area of the PMU technology through its integration with distributed computing and optimal control. It will illustrate how ideas from advanced ideas from numerical methods and distributed optimization can be combined into power system monitoring and control applications, and how they can be implemented via fault-tolerant computing to maintain grid stability in face of catastrophic cyber and physical disturbances.The broader impact of this project will be in providing a much-needed application of CPS engineering to advance emerging research on PMU-integrated next-generation smart grids. Research results will be broadcast through journal publications, jointly organized graduate courses between NC State and University of Illinois Urbana Champagne, conference tutorials and workshops. Undergraduate research for minority engineering students will be promoted via the FREEDM Systems Center, summer internships via Information Trust Institute (UIUC) and RENCI, and middle/high-school student mentoring through the NCSU Science House program.

该提案的目标是开发一个分布式算法框架，由高度容错的软件系统支持，用于使用大量同步相量数据执行北美电网的关键传输级操作。随着相量测量单元（PMU）的数量在未来4-5年内增加到数千个以上，相当直观的是，当前最先进的广域测量系统集中式通信和信息处理架构（在这种数据爆炸的情况下，WAMS将不再具有可持续性，需要开发完全分布式的网络物理架构。北美同步相量计划 (NASPI) 目前正在通过 NASPI-net 和相量网关开发新的通信和计算协议来解决这一架构方面的问题。然而，到目前为止，人们很少关注这种设想的分布式架构“即”分布式算法及其相关中间件的最关键后果。因此，我们的首要任务是开发并行计算方法，通过对其稳定性、收敛性和鲁棒性特性进行分析研究来解决实时广域监测和控制问题，然后使用我们的 WAMS 对其进行实施和测试以抵御无关的恶意攻击-北卡罗来纳州的 RTDS 测试台。特别是，我们将解决三个关键的研究问题，即“分布式广域振荡监测、暂态稳定性评估和电压稳定性监测”。这项研究的智力价值将在于通过其与分布式计算和最优控制的集成。它将说明如何将数值方法和分布式优化的先进思想结合到电力系统监测和控制应用中，以及如何通过容错计算来实现这些思想，以在面对灾难性的网络和物理干扰时保持电网稳定性。该项目的更广泛影响将是提供急需的 CPS 工程应用，以推进 PMU 集成的下一代智能电网的新兴研究。研究成果将通过期刊出版物、北卡罗来纳州立大学和伊利诺伊大学厄巴纳香槟分校联合举办的研究生课程、会议教程和研讨会来传播。少数族裔工程专业学生的本科研究将通过 FREEDM 系统中心推广，暑期实习将通过信息信托学院 (UIUC) 和 RENCI 推广，并通过 NCSU Science House 项目进行初中/高中学生指导。