Project title: Collaborative Research: AMPS: Rethinking State Estimation for Power Distribution Systems in the Quantum Era
This is a collaborative research project between Clarkson, Kennesaw State University, and Virginia Commonwealth University with a total of $600,000. Each school will receive $200,000.
Funding agencies: NSF and DOE through NSF-AMPS program
The abstract is below:
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 extremely 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.