Carbon-Centric Hybrid-Game Robust Planning of Multiple Integrated Energy Systems Considering Higher-Order Uncertainty
高次不確実性を考慮したカーボン中心のハイブリッドゲームによる複数統合エネルギーシステムのロバスト計画 (AI 翻訳)
Xinglei Liu, Jun Liu, Lei Wu, Tao Ding, Weilun Wang, Xiangning He
🤖 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（IES）の計画において、炭素取引と炭素ベース価格設定を中心に据えた新たなモデルを提案。ナッシュ交渉ゲームとシュタッケルベルクゲームを統合し、システム間・システム内の協調を促進。改良型CHPと拡張炭素排出フローモデルにより動的炭素帰属を実現。高次不確実性に対処する頑健な計画手法を開発し、中国南部の実例で有効性を検証。
English
This paper proposes a carbon-centric hybrid-game robust planning model for multiple integrated energy systems (IESs) under higher-order uncertainties. It integrates inter-IES Nash bargaining with dynamic carbon trading and intra-IES Stackelberg game with carbon-based pricing. A novel low-carbon CHP and extended carbon emission flow model support dynamic carbon attribution. Case studies in Southern China validate emission reduction and operational flexibility.
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、カーボンプライシングと排出権取引が注目されており、本モデルは複数エネルギーシステム間での動的炭素取引を考慮した計画手法を提供。SSBJや有報での炭素関連開示にも応用可能な知見を含む。
In the global GX context
Globally, this paper advances the integration of carbon pricing mechanisms into energy system planning, addressing higher-order uncertainties. It contributes to the literature on carbon-centric optimization and dynamic carbon attribution, relevant to ISSB and transition finance frameworks.
👥 読者別の含意
🔬研究者:Provides a novel game-theoretic planning model integrating carbon trading and pricing for multi-IES, with robust optimization under uncertainty.
🏢実務担当者:Can be used by energy companies and utilities to incorporate carbon costs and trading into system planning and operations.
🏛政策担当者:Offers insights for designing carbon pricing policies and promoting inter-system coordination in energy transition.
📄 Abstract（原文）
With the growing focus on carbon neutrality, integrated energy systems (IESs) have become vital for low-carbon transitions. However, conventional multi-IES planning remains energy-centric, overlooking inter- and intra-system interactions of carbon trading and carbon-based pricing. Therefore, this paper proposes a carbon-centric hybrid-game robust planning model for multi-IESs under higher-order uncertainties (HOUs). The proposed model integrates an inter-IES Nash bargaining game to enhance system-wide coordination with dynamic carbon trading, and an intra-IES Stackelberg game to improve supplier-user interaction via carbon-based energy pricing. A novel low-carbon flexible retrofitted CHP structure, alongside its extended carbon emission flow (ECEF) model, is developed to provide physical support for dynamic carbon attribution. Additionally, to address HOUs in renewable outputs, a confidence band-based ambiguity set is constructed, considering both parameter and distributional variations for system robust planning. A decomposition algorithm combining adaptive ADMM and parallel C&CG is implemented to ensure computational tractability. Finally, case studies on a real-world system in Southern China validate the effectiveness of the proposed model in improving emission reduction, operational flexibility, and planning robustness.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/tsg.2025.3635668first seen 2026-05-15 17:06:33
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