2023-07-17 米国国立再生可能エネルギー研究所(NREL)
Atom Computing’s quantum computing solution stack has been interfaced with power research equipment at the National Renewable Energy Laboratory. The interface is open source and vendor neutral, allowing other researchers to pursue their own quantum-supported studies. Photo from Atom Computing
◆量子コンピュータは、複雑な最適化問題を解決する際に従来のコンピュータよりも高効率な性能を発揮するため、電力グリッドのような複雑なシステムの最適化に特に有用です。量子イン・ザ・ループは、エネルギー資源が増加し、電力フローが複雑化する中での電力グリッド運用の最適化に向けた重要なステップとなります。この研究により、量子コンピューティングが将来のエネルギーシステムに適用される可能性が広がりました。
＜関連情報＞
- https://www.nrel.gov/news/program/2023/quantum-computers-can-now-interface-with-power-grid-equipment.html
- https://ieeexplore.ieee.org/document/10108354/authors#authors
レジリエントなスマートグリッド設計のための量子インザループ・リアルタイムシミュレーションのアーキテクチャ Architecture for Quantum-in-the Loop Real-Time Simulations for Designing Resilient Smart Grids
Sayonsom Chanda,Manish Mohanpurkar,Rob Hovsapian
IEEE Xplore Published:28 April 2023
DOI:https://doi.org/10.1109/ATEE58038.2023.10108354
Abstract
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.
