Architecture for Quantum-in-the Loop Real-Time Simulations for Designing Resilient Smart Grids

Chanda, Sayonsom; Mohanpurkar, Manish; Hovsapian, Rob

doi:10.1109/ATEE58038.2023.10108354

Attention

Certain functionality on OSTI.gov may be limited from July 10th, 8 PM EDT through July 13th, 6 AM EDT. We apologize for any inconvenience.

Architecture for Quantum-in-the Loop Real-Time Simulations for Designing Resilient Smart Grids

Conference · 28 April 2023

DOI:https://doi.org/10.1109/ATEE58038.2023.10108354· OSTI ID:1984225

Chanda, Sayonsom; Mohanpurkar, Manish; Hovsapian, Rob

With the power grid growing more complex every day with the inclusion of new sensors and regulatory approvals that enable end-users and small local developers to participate in the grid, it is becoming challenging for conventional smart grid simulation, emulation, and testing technologies to keep up. In this work, we propose that quantum-encoded real-time simulations can be helpful under the new paradigm and operational circumstances to solve optimization problems for power grids. By leveraging the principles of quantum mechanics, the proposed quantum-in-loop (QIL) framework will enable better and faster optimization solutions based on real-world, real-time data streams, facilitating the real-time planning and operations of electrical grids that rely on millions of distributed sensors and controllers. Furthermore, QIL will allow researchers and engineers to assist utilities in designing, developing, and de-risking algorithms to optimize power grid operation and resilience by considering inputs from millions of grid-connected devices. QIL framework is being developed to have a self-limiting triage mechanism, which will help engineers and practitioners identify fundamental physical limits on quantum processors, revealing what quantum algorithms can and cannot do in utility-specific use cases and must continue to count on classical high-performance computing infrastructure.

🛈

OSTI does not have a digital full text copy available. For more information, please see document availability, search WorldCat, or search Google Scholar.

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE National Renewable Energy Laboratory (NREL)

DOE Contract Number:: AC36-08GO28308

OSTI ID:: 1984225

Report Number(s):: NREL/CP-4B00-86480; MainId:87253; UUID:d30d1de8-0961-42a8-b52d-5e4ec04308e0; MainAdminID:69710

Country of Publication:: United States

Language:: English

References (29)

A hybrid fuzzy quantum time series and linear programming model: Special application on TAIEX index dataset Singh, Pritpal; Dhiman, Gaurav; Guo, Sen Modern Physics Letters A, Vol. 34, Issue 25 https://doi.org/10.1142/S0217732319502018	journal	August 2019
Improving solutions by embedding larger subproblems in a D-Wave quantum annealer Okada, Shuntaro; Ohzeki, Masayuki; Terabe, Masayoshi Scientific Reports, Vol. 9, Issue 1 https://doi.org/10.1038/s41598-018-38388-4	journal	February 2019
Prospect of using Grover's search in the noisy-intermediate-scale quantum-computer era Wang, Yulun; Krstic, Predrag S. Physical Review A, Vol. 102, Issue 4 https://doi.org/10.1103/PhysRevA.102.042609	journal	October 2020
On the role of entanglement in quantum-computational speed-up Jozsa, Richard; Linden, Noah Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, Vol. 459, Issue 2036 https://doi.org/10.1098/rspa.2002.1097	journal	August 2003
Quantum Algorithm for Linear Systems of Equations Harrow, Aram W.; Hassidim, Avinatan; Lloyd, Seth Physical Review Letters, Vol. 103, Issue 15 https://doi.org/10.1103/PhysRevLett.103.150502	journal	October 2009
Quantum Power Flow Feng, Fei; Zhou, Yifan; Zhang, Peng IEEE Transactions on Power Systems, Vol. 36, Issue 4 https://doi.org/10.1109/TPWRS.2021.3077382	journal	July 2021
QISKit, Awesome SDK for Quantum Programming in Python Silva, Vladimir Practical Quantum Computing for Developers https://doi.org/10.1007/978-1-4842-4218-6_4	book	January 2018
Quantum Distributed Unit Commitment: An Application in Microgrids Nikmehr, Nima; Zhang, Peng; Bragin, Mikhail A. IEEE Transactions on Power Systems, Vol. 37, Issue 5 https://doi.org/10.1109/TPWRS.2022.3141794	journal	September 2022
On convex optimization problems in quantum information theory Girard, Mark W.; Gour, Gilad; Friedland, Shmuel Journal of Physics A: Mathematical and Theoretical, Vol. 47, Issue 50 https://doi.org/10.1088/1751-8113/47/50/505302	journal	November 2014
A quantum method for dynamic nonlinear programming technique using Schrödinger equation and Monte Carlo approach Kaur, Amandeep; Kaur, Satnam; Dhiman, Gaurav Modern Physics Letters B, Vol. 32, Issue 30 https://doi.org/10.1142/S0217984918503748	journal	October 2018
Quantum microgrid state estimation Feng, Fei; Zhang, Peng; Zhou, Yifan Electric Power Systems Research, Vol. 212 https://doi.org/10.1016/j.epsr.2022.108386	journal	November 2022
A quantum interior-point predictor–corrector algorithm for linear programming Casares, P. A. M.; Martin-Delgado, M. A. Journal of Physics A: Mathematical and Theoretical, Vol. 53, Issue 44 https://doi.org/10.1088/1751-8121/abb439	journal	October 2020
Power and Energy Applications Based on Quantum Computing: The Possible Potentials of Grover’s Algorithm Habibi, Mohammad Reza; Golestan, Saeed; Soltanmanesh, Ali Electronics, Vol. 11, Issue 18 https://doi.org/10.3390/electronics11182919	journal	September 2022
Hybrid Classical-Quantum Optimization Techniques for Solving Mixed-Integer Programming Problems in Production Scheduling Ajagekar, Akshay; Hamoud, Kumail Al; You, Fengqi IEEE Transactions on Quantum Engineering, Vol. 3 https://doi.org/10.1109/TQE.2022.3187367	journal	January 2022
Programmable Quantum Networked Microgrids Tang, Zefan; Zhang, Peng; Krawec, Walter O. IEEE Transactions on Quantum Engineering, Vol. 1 https://doi.org/10.1109/TQE.2020.3019738	journal	January 2020
Defining quantum divergences via convex optimization Fawzi, Hamza; Fawzi, Omar Quantum, Vol. 5 https://doi.org/10.22331/q-2021-01-26-387	journal	January 2021
Convex optimization using quantum oracles van Apeldoorn, Joran; Gilyén, András; Gribling, Sander Quantum, Vol. 4 https://doi.org/10.22331/q-2020-01-13-220	journal	January 2020
Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers Liu, Xiaoyuan; Angone, Anthony; Shaydulin, Ruslan IEEE Transactions on Quantum Engineering, Vol. 3 https://doi.org/10.1109/TQE.2021.3140190	journal	January 2022
Quantum-Inspired Solvers on Mixed-Integer Linear Programming Problem Wang, Hao; Pan, Yu; Cui, Wei 2022 41st Chinese Control Conference (CCC) https://doi.org/10.23919/CCC55666.2022.9902772	conference	July 2022
Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices Zhou, Leo; Wang, Sheng-Tao; Choi, Soonwon Physical Review X, Vol. 10, Issue 2 https://doi.org/10.1103/PhysRevX.10.021067	journal	June 2020
Quantum error correction via convex optimization Kosut, Robert L.; Lidar, Daniel A. Quantum Information Processing, Vol. 8, Issue 5 https://doi.org/10.1007/s11128-009-0120-2	journal	July 2009
Quantum Electromagnetic Transients Program Zhou, Yifan; Feng, Fei; Zhang, Peng IEEE Transactions on Power Systems https://doi.org/10.1109/TPWRS.2021.3067207	journal	January 2021
Multilevel Combinatorial Optimization across Quantum Architectures Ushijima-Mwesigwa, Hayato; Shaydulin, Ruslan; Negre, Christian F. A. ACM Transactions on Quantum Computing, Vol. 2, Issue 1 https://doi.org/10.1145/3425607	journal	April 2021
Quantum-Secure Microgrid Tang, Zefan; Qin, Yanyuan; Jiang, Zimin IEEE Transactions on Power Systems, Vol. 36, Issue 2 https://doi.org/10.1109/TPWRS.2020.3011071	journal	March 2021
Detection of False Data Injection Cyber-Attacks in DC Microgrids Based on Recurrent Neural Networks Habibi, Mohammad Reza; Baghaee, Hamid Reza; Dragicevic, Tomislav IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 9, Issue 5 https://doi.org/10.1109/JESTPE.2020.2968243	journal	October 2021
Solving the traveling salesman problem on a quantum annealer Warren, Richard H. SN Applied Sciences, Vol. 2, Issue 1 https://doi.org/10.1007/s42452-019-1829-x	journal	December 2019
QMutPy: a mutation testing tool for Quantum algorithms and applications in Qiskit Fortunato, Daniel; Campos, José; Abreu, Rui Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis https://doi.org/10.1145/3533767.3543296	conference	July 2022
Quantum-Key-Distribution-Based Microgrid Control for Cybersecurity Enhancement Yan, Rudai; Wang, Yu; Dai, Jiahong IEEE Transactions on Industry Applications, Vol. 58, Issue 3 https://doi.org/10.1109/TIA.2022.3159314	journal	May 2022
Synthesis of Quantum Superpositions by Quantum Computation Grover, Lov K. Physical Review Letters, Vol. 85, Issue 6 https://doi.org/10.1103/PhysRevLett.85.1334	journal	August 2000

Similar Records

A Survey on Social Media to Enhance the Cyber-PhysicalSocial Resilience of Smart Grid

Conference · 2018 · 8th Renewable Power Generation Conference (RPG 2019) · OSTI ID:1821451

Resilient Information Architecture Platform for Smart Grid (RIAPS)

Other · 2021 · OSTI ID:1995380

An Analysis of Security and Privacy Issues in Smart Grid Software Architectures on Clouds

Conference · 2011 · OSTI ID:1332299

Related Subjects

POWER TRANSMISSION AND DISTRIBUTION
digital real-time simulation
grid modernization
hardware-in-the-loop
optimization
quantum computing
quantum-in-the-loop
resiliency
smart grid

Architecture for Quantum-in-the Loop Real-Time Simulations for Designing Resilient Smart Grids

Citation Formats

References (29)

Similar Records

Related Subjects