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Collaborative Research: AMPS: Rethinking State Estimation for Power Distribution Systems in the Quantum Era

Collaborative Research: AMPS: Rethinking State Estimation for Power Distribution Systems in the Quantum Era
合作研究:AMPS:重新思考量子时代配电系统的状态估计
批准号:
2229074
负责人:
Tuyen Vu
金额:
$20.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-01-01 至 2025-12-31

项目摘要

项目成果

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中文摘要
翻译
向可再生能源的加速过渡和具有智能物联网(IoT)设备的电力系统的快速现代化带来了新的集成挑战,并使系统极易受到新的网络威胁。这些挑战和风险突出表明,迫切需要更先进、更强大的状态和情况意识,这对于及早发现和缓解电网事故至关重要。该项目旨在为量子时代的电力系统状态估计(SE)建立一个新的量子体系结构、算法和数学工具集合,SE是监控和数据采集(SCADA)系统中的关键过程。通过利用最近在量子计算和量子网络方面的突破和现实应用,该项目调查了量子计算的巨大能力如何能够对系统中的变化提供更快速、更准确的响应。此外,该项目利用量子网络提供高度机密性和完整性的数据通信,将电网安全提升到一个新的水平。这个项目将通过开放源码软件的发布和对下一代工程师的教育和培训,特别是那些来自STEM中代表性不足的群体的工程师,产生广泛的社区和社会影响。该项目的目标是开发一个受量子启发的整体电力状态估计框架,解决分散电网的网络风险和运营挑战。为了实现这一目标,量子网络的四个主要研究工作包括:1)量子网络体系结构--设计一个面向网络和服务的体系结构和协议,以实现量子密钥分发和处理智能电网中的保密通信;2)面向SE的量子计算--开发及时高效的功率状态估计解决方案,包括高效的预处理、优化的伊辛哈密顿、硬件嵌入和退火法;以及3)面向SE的分布式量子系统--在量子网络、量子计算和高级深度学习方法的支持下,提出一个健壮的、值得信赖的分布式系统状态估计。4)评估-部署、测试和进行基于量子网络物理试验台的拟议框架的全面性能评估,以支持通过量子网络和计算技术实现的智能电网中的状态估计。该项目将为量子技术在智能电网中的应用奠定数学和算法基础。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The accelerated transition to renewable energy and the rapid modernization of power systems with smart Internet-of-Thing (IoT) devices have presented new integration challenges and made the systems highly vulnerable to new cyberthreats. These challenges and risks underscore the urgent need for more advanced and robust state and situation awareness that are essential to the early detection and mitigation of grid incidents. This project aims to establish a novel collection of quantum architectures, algorithms, and mathematical tools for quantum era power system state estimation (SE), a critical process in supervisory control and data acquisition (SCADA) systems. By capitalizing on the recent breakthroughs and real-world applications in quantum computing and quantum networking, the project investigates how the massive power of quantum computing can provide more rapid and accurate responses to changes in the systems. Further, the project leverages quantum networking to provide data communication with high confidentiality and integrity, raising the power grid security to the next level. This project will have broad community and societal impacts through open-source software release and the education and training of the next generation of engineers, particularly those from underrepresented groups in STEM.The goal of this project is to develop a holistic quantum-inspired framework for power state estimation, addressing the cyber risks and operational challenges for decentralized grids. Towards this goal, four main research activities include 1) Quantum network architecture - designing a network and service-oriented architecture and protocols to implement the quantum key distribution and to handle the confidential communications in smart grids; 2) Quantum computing for SE - developing timely and high-efficient solutions for power state estimation, including efficient preprocessing, optimizing Ising Hamiltonian, hardware-embedding, and annealing; and 3) Distributed quantum systems for SE - proposing a robust and trust-worthy distributed system state estimation with a support of quantum networking, quantum computing, and advanced deep learning methods. 4) Assessment - deploying, testing, and conducting comprehensive performance assessment of the proposed framework based on a quantum cyber-physical testbed to support the state estimation in smart grids enabled by quantum networking and computing technologies. This project will lay the mathematical and algorithmic foundation for the application of quantum technologies in smart grids.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.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/access.2023.3273292
发表时间: 2022-10
期刊: IEEE Access
影响因子: 3.9
作者: [Bang L. H. Nguyen;T. Vu;Thai-Thanh Nguyen;M. Panwar;R. Hovsapian]
通讯作者: Bang L. H. Nguyen;T. Vu;Thai-Thanh Nguyen;M. Panwar;R. Hovsapian
DOI: 10.1109/ests56571.2023.10220523
发表时间: 2023-08
期刊: 2023 IEEE Electric Ship Technologies Symposium (ESTS)
影响因子: --
作者: [Quang-Ha Ngo;Bang L. H. Nguyen;T. Vu;T. Ngo]
通讯作者: Quang-Ha Ngo;Bang L. H. Nguyen;T. Vu;T. Ngo
DOI: 10.1109/oncon56984.2022.10126859
发表时间: 2022-11
期刊: 2022 IEEE 1st Industrial Electronics Society Annual On-Line Conference (ONCON)
影响因子: --
作者: [Bang L. H. Nguyen;T. Vu;Thai-Thanh Nguyen;M. Panwar;R. Hovsapian]
通讯作者: Bang L. H. Nguyen;T. Vu;Thai-Thanh Nguyen;M. Panwar;R. Hovsapian
CAREER: Physics-informed Graph Learning for Anomaly Detection in Power Systems
  • 批准号:
    2338642
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2024
  • 负责人:
    Tuyen Vu
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)