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: 2229075
• 负责人: Thang Dinh
• 金额: $ 20万
• 依托单位: Virginia Commonwealth University
• 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
• 起止时间: 2023-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2229075&HistoricalAwards=false
• 关键词: Collaborative; Research; AMPS; Rethinking; State

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.

加速向可再生能源的过渡以及使用智能互联网设备（IoT）设备对电力系统的快速现代化已经提出了新的集成挑战，并使系统极易受到新的网络威胁的影响。这些挑战和风险强调了对更先进，更强大的状态和处境意识的迫切需求，这对于早期发现和缓解电网事件至关重要。该项目旨在建立用于量子架构，算法和数学工具的新颖集合，用于量子时代电力系统状态估计（SE），这是监督控制和数据获取（SCADA）系统的关键过程。通过利用量子计算和量子网络中的最新突破和现实世界应用，该项目研究了量子计算的庞大能力如何为系统变化提供更快，更准确的响应。此外，该项目利用量子网络以高度机密性和完整性提供数据通信，从而将电网安全性提高到了新的水平。该项目将通过开源软件发布以及对下一代工程师的教育和培训，尤其是STEM中代表不足的群体的教育和培训。该项目的目的是为电力状态估算制定整体量子启发的框架，以应对分散网格的网络风险和操作挑战。为了实现这一目标，四个主要的研究活动包括1）量子网络体系结构 - 设计一个面向服务的架构和协议，以实现量子密钥分布并处理智能电网中的机密通信； 2）用于SE的量子计算 - 开发及时且高效的解决方案，以进行功率状态估计，包括有效的预处理，优化Ising Hamiltonian，硬件 - 装卸和退火； 3）用于SE的分布式量子系统 - 提出了一个可靠和值得信任的分布式系统状态估计，并支持量子网络，量子计算和先进的深度学习方法。 4）评估 - 基于量子网络物理测试床的部署，测试和进行全面的绩效评估，以支持量子网络和计算技术启用的智能电网中的状态估计。该项目将奠定数学和算法基础，以在智能网格中应用量子技术。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。

项目成果

Towards Fidelity-Optimal Qubit Mapping on NISQ Computers

在 NISQ 计算机上实现保真度最优的量子位映射

• 发表时间: 2023
• 期刊: IEEE International Conference on Quantum Computing and Engineering (QCE
• 作者: Khandavilli, Sri;Palanisamy, Indu;Nguyen, Manh V.;Le, Thinh V.;Nguyen, Tu N.;Dinh, Thang N.
• 通讯作者: Dinh, Thang N.

Benchmarking Chain Strength: An Optimal Approach for Quantum Annealing

链强度基准测试：量子退火的最佳方法

• 发表时间: 2023
• 期刊: IEEE International Conference on Quantum Computing and Engineering (QCE
• 作者: Le, Thinh V.;Nguyen, Manh V.;Nguyen, Tu N.;Dinh, Thang N.;Djordjevic, Ivan;Zhang, Zhi-Li
• 通讯作者: Zhang, Zhi-Li

Quantum Social Computing Approaches for Influence Maximization

• DOI: 10.1109/globecom48099.2022.10000698
• 发表时间: 2022-12
• 期刊: GLOBECOM 2022 - 2022 IEEE Global Communications Conference
• 作者: Thang N. Dinh;An Nguyen;Uyen Nguyen;Giang Nguyen

FastHare: Fast Hamiltonian Reduction for Large-scale Quantum Annealing

• DOI: 10.1109/qce53715.2022.00030
• 发表时间: 2022-05
• 期刊: 2022 IEEE International Conference on Quantum Computing and Engineering (QCE)
• 作者: Phuc Thai;M. Thai;Tam Vu;Thang N. Dinh