Source–Load Joint Optimal Dispatch of IES Featuring P2G-CCS Coupling and Hydrogen-Blended Gas Units
P2G-CCS連携と水素混合ガスユニットを特徴とするIESの源荷協調最適運用 (AI 翻訳)
Limeng Wang, Haonan Shen, Xingchao Chai, Saihan Li
🤖 gxceed AI 要約
日本語
本論文は、P2GとCCSの連携、水素燃料電池、水素タンク、水素混合CHPユニットを組み込んだ統合エネルギーシステムの最適運用方法を提案する。需要側で柔軟な負荷応答と段階的炭素取引を導入し、モンテカルロシミュレーションで不確実性を処理した。CPLEXで求解した結果、総コストが530.44元削減、炭素排出が20.64%削減され、経済性と低炭素性の両立を実証した。
English
This study proposes an optimal dispatch model for an Integrated Energy System (IES) combining P2G with carbon capture (CCS), hydrogen blending in gas-fired CHP units, and hydrogen fuel cells. It incorporates low-carbon demand response and stepped carbon trading. Using Monte Carlo simulation and CPLEX, the model reduces total cost by 530.44 yuan and carbon emissions by 20.64%, demonstrating improved economy and low-carbon performance.
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
この研究は、水素混合とCCSを電力系統に統合する点で日本の水素戦略やCCS政策に関連するが、中国の「双炭」目標に基づくものであり、日本の実運用にはさらなる調整が必要である。ただし、P2G-CCS連携のモデルは日本のエネルギーシステム計画にも応用可能である。
In the global GX context
This paper offers a numerical framework for IES optimization that integrates P2G with CCS, hydrogen blending, and stepped carbon trading. While the case study is Chinese, the methodological approach is transferable to global energy systems seeking cost-effective low-carbon dispatch and carbon capture integration.
👥 読者別の含意
🔬研究者:Researchers can use the optimization framework combining P2G-CCS, hydrogen blending, and stepped carbon trading for further IES dispatch studies.
🏢実務担当者:Practitioners in energy system planning can adopt the model to improve economic and low-carbon performance of integrated energy systems.
🏛政策担当者:Policymakers can note the effectiveness of stepped carbon trading and hydrogen blending in achieving dual-carbon goals.
📄 Abstract（原文）
: Under the “dual-carbon” strategic goal, in order to improve the economy, a low-carbon and multi-energy coupling of integrated energy system (IES), this paper proposes an optimal scheduling method of the integrated energy system considering low-carbon demand response and multiple utilization of hydrogen energy. Initially, power-to-gas (P2G) is coupled with carbon capture to achieve carbon recovery and reuse. Building upon the conventional P2G framework, this study develops an expanded hydrogen-energy utilization scheme that integrates hydrogen fuel cells, a hydrogen tank, and a gas-fired combined heat and power (CHP) unit operating with hydrogen blending, thereby fully harnessing the latent potential of hydrogen resources. Then, the flexible load response mechanism and the stepped carbon trading mechanism are introduced on the demand side to optimize the electricity-heat load curve and control carbon emissions. Finally, based on a Monte Carlo simulation, the uncertainty is processed to generate the typical scenario curve of new energy output. To minimize the total operating cost of the system, an IES low-carbon economy optimization scheduling model is established, and the proposed model is solved using the CPLEX solver. Through simulation comparison and analysis of the optimization results in various scenarios, the proposed optimization model achieves a total cost reduction of 530.44 yuan and a 20.64% reduction in carbon emissions. It has been verified that the model can achieve environmental protection while considering economic factors, and can effectively promote the low-carbon development of the integrated energy system.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.32604/ee.2026.078006first seen 2026-05-15 17:22:23
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