MRI: Acquisition of a Large-Scale Real-Time Digital Simulator for Cyber-Physical Energy Systems

MRI：获取用于网络物理能源系统的大型实时数字模拟器

• 批准号: 2216294
• 负责人: Mohammed Ben-Idris
• 金额: $ 99.36万
• 依托单位: Board of Regents, NSHE, obo University of Nevada, Reno
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2216294&HistoricalAwards=false
• 关键词: MRI; Acquisition; Large; Scale; Real

This NSF MRI project aims to make the U.S. power grid resilient and cyber-secure by acquiring a simulator that will allow researchers to realistically model how power grids work in practice, incorporating events like natural disasters, communication failures, and cyber-attacks. This equipment, called a real-time digital simulator, will bring a transformative change to the field of power and energy engineering through co-simulating different power system responses (transient, dynamic, and steady-state) at large scale and simulating cascading failures with actual devices via hardware-in-the-loop (HiL) capability. This will be achieved by building a large-scale cyber-physical energy systems testbed that will enable multi-disciplinary research, education, and training. The intellectual merits of the project include developing 1) user-friendly algorithms for multi-timeframe simulation of power system responses; 2) solutions that detect and mitigate potential cyber-attacks on power grids; and 3) resilient communication systems for power grids during extreme events. The broader impacts of the project include improving the resilience and stability of the power supply against extreme events, strengthening the cybersecurity of power grids, and providing training opportunities for graduate and undergraduate students and engineers.The testbed will lead to transformative research through testing, validating, and demonstrating the developed solutions on large-scale simulators with cybersecurity, communication, and HiL capabilities. Research activities to be enabled by this testbed include 1) developing solutions for proactive resource scheduling and hardening prior to natural disasters to protect power grids from wildfires, storms, and earthquakes; 2) developing components (technical controls and configuration options) needed for secure exchange of information with blind processing and privacy preservation, thereby hardening power grid cybersecurity; 3) researching solutions for the integration of renewable energy sources, mainly by using energy storage systems to provide grid services and synthetic inertia; 4) developing methods to detect and isolate high-impedance faults, which are known to cause wildfires and power system malfunctions; 5) using unmanned aerial vehicles to assess post-disaster damages to power grids and implement the restoration of the grid; 6) developing tools for power system operators that raise situational awareness; and 7) raising understanding of microgrid islanding and autonomous operation capabilities in cases of severe power outages.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该NSF MRI项目旨在通过获取一个模拟器来使美国电网的弹性和网络安全，该模拟器将使研究人员能够现实地模拟电网在实践中的工作方式，并结合诸如自然灾害，交流失败和网络攻击之类的事件。该设备称为实时数字模拟器，将通过大规模地模拟不同的电力系统响应（瞬态，动态和稳态）来为电力和能源工程领域带来变革性的变化，并与通过硬件（HIL）功能的实际设备。这将通过构建大规模的网络物理能源系统测试台来实现，该测试将实现多学科研究，教育和培训。该项目的智力优点包括开发1）用户友好的算法，用于对电源系统响应的多时间帧模拟； 2）检测和减轻电网上潜在网络攻击的解决方案； 3）在极端事件中，电网的弹性通信系统。该项目的更广泛的影响包括提高电源对极端事件的弹性和稳定性，增强电网的网络安全以及为研究生，本科生和工程师提供培训机会。该测试将通过测试，验证来进行变革性研究，并展示具有网络安全，通信和HIL功能的大型模拟器上开发的解决方案。该测试培养的研究活动包括1）在自然灾害之前开发用于主动资源调度和硬化的解决方案，以保护电网免受野火，风暴和地震的影响； 2）开发与盲目处理和隐私保护的信息交换所需的组件（技术控制和配置选项），从而硬化电网网络安全； 3）研究可再生能源整合的解决方案，主要是通过使用储能系统提供网格服务和合成惯性； 4）开发检测和分离高阻抗断层的方法，这些方法已知会导致野火和电力系统故障； 5）使用无人驾驶汽车来评估电网后拆卸后损坏并实施电网的恢复； 6）为电力系统运营商开发工具，以提高情境意识； 7）在严重停电的情况下，提高对微电网岛化和自主操作能力的了解。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来支持的。