Emission and Economy Balanced Dispatching of Integrated Power and Hydrogen Systems via a Tri-Level Robust Optimizer Incorporating Multi-Time Resolution and Carbon Tax
炭素税とマルチタイム解像度を組み込んだ3レベルロバスト最適化による統合電力・水素システムの排出と経済のバランスの取れた運用 (AI 翻訳)
Wenwen Zhang, Gao Qiu, Junyong Liu, Youbo Liu, Hongjun Gao, Yikui Liu
🤖 gxceed AI 要約
日本語
本論文は、フルサイクル炭素税とハイブリッドエネルギー貯蔵を備えた統合電力・水素システム(IPHS)を提案。3レベルロバスト最適化モデルにより、配電網と水素生成ステーションの協調運用を実現し、二酸化炭素排出量を20.5%以上、運用コストを7.6%削減する。
English
This paper proposes an integrated power and hydrogen system (IPHS) with full-cycle carbon tax and hybrid energy storage. A tri-level robust optimization model coordinates active distribution network and hydrogen generation station, reducing carbon emissions by over 20.5% and operating costs by 7.6% across seasonal scenarios.
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
日本は水素社会の実現をGX戦略の柱としており、本モデルは炭素税導入時の電力・水素連携システム設計に示唆を与える。特にSOFCやバッテリーの活用は、日本の水素サプライチェーン構築に参考となる。
In the global GX context
This paper offers a novel optimization framework for hydrogen systems under carbon pricing, relevant to global energy transition. The multi-time resolution approach addresses integration challenges of renewable variability and hydrogen demand, applicable to regions advancing hydrogen infrastructure such as Europe and Asia.
👥 読者別の含意
🔬研究者:A robust optimization methodology integrating carbon tax, hydrogen, and multi-time resolution for power-hydrogen systems.
🏢実務担当者:A practical model for reducing emissions and costs in integrated hydrogen and power systems using carbon tax and hybrid storage.
🏛政策担当者:Evidence that carbon tax coupled with optimized dispatch can significantly cut emissions and costs, informing hydrogen policy design.
📄 Abstract（原文）
The escalating demand for hydrogen forces hydrogen generation station (HGS) to seek a stable power supply, that is inherently contradicts the intermittency of distributed renewable energy (DRE). Whilst the affordable active distribution network (ADN) electricity mostly sourced from fossil fuels goes against decarbonization vision. To balance economy and emission, an efficient integrated power and hydrogen system (IPHS), featuring a full-cycle carbon tax and hybrid energy storage, is proposed. Particularly, the full-cycle carbon tax fosters optimized utilization of clean energies and development of high-efficiency solid oxide fuel cell (SOFC). The ADN involves li-ion batteries to derisk DRE curtailment. Whilst a two-layer optimizer is proposed to lower emission of the HGS, where the inner layer leverages a vehicle routing problem (VRP) to decarbonize hydrogen selling, and the outer layer serves to improve efficiency of hydrogen production and conversion. On privacy barrier, the ADN and HGS are unified by alternated directed multiplier method (ADMM), yielding a tri-level robust model. Given the integer-rich NP-hard nature of this model, due to 5-minute battery scheduling and inner VRP, a multi-time resolution solver is tailored. It segregates IPHS operations into a 1-hour ADN-HGS interaction stage following HGS’s slow responses, and an enhanced fast 5-minute battery schedule phase to compensate DRE stochasticity. Numerical studies indicate that, the proposed model reduces carbon emissions by at least 20.5% and operating costs by 7.6% across various seasonal scenarios.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/tsg.2025.3630159first seen 2026-05-15 20:17:31
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