CPS: Synergy: A Cyber Physical Framework for Remedial Action Schemes in Large Power Networks

CPS：协同：大型电力网络补救行动方案的网络物理框架

• 批准号: 1239366
• 负责人: Kevin Tomsovic
• 金额: $ 75万
• 依托单位: University of Tennessee Knoxville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2016-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1239366&HistoricalAwards=false
• 关键词: CPS; Synergy; Cyber; Physical; Framework

This project develops an integrated framework of communications, computation and control for understanding wide-area power system performance in the face of unpredictable disturbances. The power system is chosen as a particularly challenging cyber physical system (CPS) due to its extreme dimension, geographic reach and high reliability requirements. The following tasks are studied in the proposed research: (a) a Partial Difference Equation (PdE) framework to model the impact of network topology on the power system stability; (b) the design of a communication network for CPS, based on the PdE modeling;(c) the design of a control system, which addresses the challenges such as fast response and resource constraints; (d) the design of a computing infrastructure, which addresses the computation for controlling the power network, in particular, the communication complexity for controlling the power network in both cases of one-snapshot computation and iterative computations; and (e) the test and evaluation for both small scale system models of several hundred buses and very large system models of ~50,000 buses. This work contributes to the broader understanding of CPS with high reliability requirements, particularly, critical infrastructures such as the power grid. Modern infrastructures are complex systems of communications and computation tied to the controls of the physical system. The proposed research contributes to improved reliability by addressing the propagation of disturbances and advancing the understanding of geographically distributed CPS. The PIs plan to open multiple courses on CPS related to the proposed research.

该项目开发了一个集成的通信，计算和控制框架，用于了解广域电力系统在面对不可预测的干扰时的性能。由于其极端的尺寸，地理范围和高可靠性要求，电力系统被选为特别具有挑战性的网络物理系统（CPS）。本文主要研究了以下几个方面的问题：（a）建立了一个描述网络拓扑结构对电力系统稳定性影响的偏差分方程（PdE）模型，（B）基于PdE模型的CPS通信网络设计，（c）控制系统设计，解决了快速响应和资源约束等问题，（d）建立了一个基于PdE模型的CPS通信网络模型。（d）计算基础设施的设计，其解决用于控制电力网络的计算，特别是在单次快照计算和迭代计算的情况下用于控制电力网络的通信复杂性;以及（e）几百辆公交车的小规模系统模型和~ 50，000辆公交车的超大型系统模型的测试和评估。这项工作有助于更广泛地了解CPS的高可靠性要求，特别是关键的基础设施，如电网。现代基础设施是与物理系统的控制相关联的通信和计算的复杂系统。所提出的研究有助于提高可靠性，通过解决传播的干扰和推进地理上分布式CPS的理解。PI计划开设多个与拟议研究相关的CPS课程。