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Asymmetric Nash Bargaining-Based Hydrogen–Carbon–Green Certificate Trading in Highway Hybrid Refueling Stations

非対称ナッシュ交渉に基づく高速道路ハイブリッド補給ステーションにおける水素・カーボン・グリーン証書取引 (AI 翻訳)

Yiming Xian, Mingchao Xia, Jichen Wang, Qifang Chen, Hang Deng

Symmetry📚 査読済 / ジャーナル2026-04-29#水素Origin: CN
DOI: 10.3390/sym18050762
原典: https://doi.org/10.3390/sym18050762

🤖 gxceed AI 要約

日本語

本論文は、高速道路のハイブリッド補給ステーション群の協調運用と分散最適化を研究する。水素・カーボン・グリーン証書の取引フレームワークを構築し、非対称ナッシュ交渉とADMMを用いて分散解法を提案。ケーススタディにより、システムコストを21.30%削減し、ステーション間の公平な利益配分を実現することを示した。

English

This paper studies coordinated operation and distributed optimization of highway hybrid refueling stations integrating hydrogen, carbon, and green certificate trading. An asymmetric Nash bargaining framework is used with ADMM for distributed solution. The case study demonstrates a 21.30% cost reduction and fair benefit distribution among stations.

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

日本でも水素ステーションやカーボンクレジット取引の推進が進む中、本論文の取引フレームワークは、ステーション間連携による効率化と公平性確保の参考となる。特に、分散最適化手法は日本版GXにおける地域内エネルギーマネジメントに応用可能。

In the global GX context

This paper contributes a novel distributed optimization framework for multi-energy trading among hydrogen refueling stations, which is relevant to global efforts in hydrogen infrastructure and carbon markets. The asymmetric Nash bargaining approach ensures fair benefit sharing, addressing a key challenge in collaborative energy systems.

👥 読者別の含意

🔬研究者:Researchers in distributed optimization and multi-energy systems will find the ADMM-based bargaining method of interest.

🏢実務担当者:Operators of hydrogen refueling stations and energy trading platforms can apply the framework to improve cost efficiency and resource sharing.

🏛政策担当者:Policymakers designing hydrogen or carbon credit markets can learn from the inter-station trading model for better market mechanisms.

📄 Abstract(原文)

With the increasing integration of transportation and energy systems, highway energy replenishment facilities are gradually evolving into hybrid refueling stations that integrate photovoltaic generation, energy storage, battery charging, and hydrogen refueling. However, due to differences in resource conditions across stations, independently operated hybrid refueling stations find it difficult to simultaneously improve overall economic performance and renewable energy utilization. To address this issue, this paper investigates the coordinated operation and distributed optimization of highway hybrid refueling stations. First, an inter-station hydrogen–carbon–green certificate trading framework is established, and a trading model for a cluster of hybrid refueling stations is then developed on this basis. Then, the inter-station trading problem is decomposed into two subproblems: symmetric trading volume determination and asymmetric Nash bargaining-based price determination. These two subproblems are solved in a distributed manner using the alternating direction method of multipliers. In addition, a hydrogen transportation model is developed to translate trading decisions into feasible transportation arrangements under highway network and hydrogen tube trailer scheduling constraints. Finally, the case study demonstrates that the proposed model enables multi-resource sharing among hybrid refueling stations, reduces the overall system cost by 21.30%, and achieves a fairer distribution of benefits among stations.

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