Cooperative Operation and Benefit Allocation for Multiple Integrated Energy Systems Considering Electricity-Carbon Trading and Uncertainties
複数統合エネルギーシステムにおける電力-炭素取引と不確実性を考慮した協調運転と利益配分 (AI 翻訳)
Yanhong Luo, Yuqing Yang, Bowen Zhou, Haowei Hao, Dongsheng Yang
🤖 gxceed AI 要約
日本語
本研究は、複数の統合エネルギーシステム（MIES）間の協調運転フレームワークを提案。電力と炭素排出枠のP2P取引をナッシュ交渉でモデル化し、不確実性をロバスト最適化と確率計画法で扱う。交渉力を評価する手法を導入し、ADMMで解く。実例でコスト削減と排出削減の有効性を確認した。
English
This study proposes a cooperative operation framework for multiple integrated energy systems (MIES), modeling electricity-carbon P2P trading via Nash bargaining and handling uncertainties with robust optimization and chance-constrained programming. A bargaining power assessment method is introduced, solved with ADMM. Case studies confirm reduced costs and emissions.
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
日本のGX文脈では、電力システムと炭素市場の連携が進んでおらず、本論文の協調運転フレームワークは参考になるが、日本固有の制度との整合性は別途検討が必要。
In the global GX context
This paper contributes to global GX by integrating carbon trading with energy system operation, aligning with coupled electricity-carbon market trends, relevant for ISSB and transition finance considerations.
👥 読者別の含意
🔬研究者:Provides a game-theoretic framework for cooperative operation and benefit allocation in multi-energy systems with carbon trading, valuable for energy systems and carbon market researchers.
🏢実務担当者:Energy system operators can use the proposed model to optimize multi-energy cooperation, reducing operational costs and carbon emissions.
🏛政策担当者:Policymakers can consider the framework for designing coupled electricity-carbon markets and promoting energy sharing among distributed systems.
📄 Abstract（原文）
To promote multi-energy complementarity and energy sharing in the field of integrated energy systems (IES), this study proposes a cooperative operation framework for multi-integrated energy systems (MIES), which enables win-win cooperation and fair benefit distribution among MIES. Firstly, considering the demand for electricity-carbon peer-to-peer (P2P) trading among MIES, a cooperative game model for electricity and carbon emission allowances (CEA) trading is established based on the Nash Bargaining (NB) approach. Secondly, addressing the multiple uncertainties arising from electricity prices and renewable energy generation of IES, two uncertainty models are established using the methods of robust optimization and chance-constrained programming, respectively. Thirdly, a comprehensive method for assessing bargaining power is proposed to support the participation of IES in cooperative games, with benefits allocated according to each system’s bargaining power. Finally, the cooperative operating model is solved using the Alternating Direction Method of Multipliers (ADMM). Practical case studies validate the proposed MIES cooperative operation framework, confirming its effectiveness in reducing operational costs and carbon emissions.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/tce.2025.3643885first seen 2026-05-05 22:58:03
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。