Quantum Hardware-in-The-Loop for Optimal Power Flow in Renewable-Integrated Power Systems
再生可能エネルギー統合電力システムにおける最適潮流計算のための量子ハードウェア・イン・ザ・ループ手法 (AI 翻訳)
Kaseb, Zeynab, Rane, Rahul, Lekic, Aleksandra, Möller, Matthias, Khodaei, Amin, Palensky, Peter, Vergara Barrios, Pedro Pablo
🤖 gxceed AI 要約
日本語
本研究は、リアルタイムデジタルシミュレータと量子ハードウェアを統合した量子ハードウェア・イン・ザ・ループフレームワークを提案し、再生可能エネルギーが高比率で導入された電力系統における最適潮流計算を実現する。IEEE 9母線システムと太陽光・風力発電を組み込んだ修正システムで検証し、収束性を確認するとともに、スケーラビリティなどの課題を特定した。
English
This paper proposes a quantum hardware-in-the-loop framework that integrates a real-time digital simulator with quantum hardware to solve optimal power flow for power systems with high renewable penetration. It validates using the IEEE 9-bus system with solar and wind farms, demonstrating convergence and identifying scalability challenges.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
本手法は再生可能エネルギーの大量導入に対応する電力系統制御の高度化に寄与し、日本のスマートグリッド研究やGX政策におけるデジタル化推進に示唆を与える。
In the global GX context
This paper advances the application of quantum computing for real-time power system operations, a frontier in the global energy transition. It provides a hardware-in-the-loop validation that is critical for moving quantum algorithms from theory to practice in grid management.
👥 読者別の含意
🔬研究者:Highlights the feasibility and challenges of integrating quantum hardware into power system optimization, guiding future research on quantum algorithms for grid operations.
🏛政策担当者:Shows potential of quantum computing to support grid stability with high renewable penetration, which could inform energy R&D funding and smart grid policy.
📄 Abstract（原文）
Quantum computing has emerged as a promising computational paradigm to address unresolved challenges in the modeling and control of modern power systems. However, most existing studies focus on offline simulations, and a practical framework for validating quantum algorithms in real-time operational environments remains lacking. This study proposes a quantum hardware-in-the-loop framework that integrates a real-time digital simulator with quantum and quantum-inspired hardware to solve combinatorial power flow and optimal power flow formulations under dynamic operating conditions. The proposed framework is validated using the IEEE 9- bus test system and a modified version with integrated solar and wind farms. The results confirm successful integration and convergence within a predefined tolerance. The study also identifies key limitations and challenges, such as limited access to quantum and digital annealers and current scalability limitations, that must be considered in future developments. Nevertheless, the results highlight the potential of quantum computing to significantly enhance the modeling and control of future power systems with high penetration of renewable energy sources.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/20507604first seen 2026-06-03 04:25:46 · last seen 2026-06-03 04:25:47
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