現代のマルチベクターエネルギーシステムにおける取引エネルギー管理：包括的フレームワーク
Transactive energy management in modern multi-vectored energy systems: A comprehensive framework (原題)
Stephen Oko Gyan Torto, Rupendra Kumar Pachauri, Jai Govind Singh, Shubham Tiwari, Hasmat Malik, Vinay Kumar Jadoun, Asyraf Afthanorhan
🤖 gxceed AI 要約
日本語
本レビューは、マルチベクター・マルチエージェントエネルギーシステム（MMV-ES）における取引エネルギー管理（TEM）を体系的に分類し、市場トポロジー、エージェント相互作用、ゲーム理論モデル、実装課題を分析する。さらに、AIを活用した混雑価格設定と公平性に基づくインセンティブを組み合わせたハイブリッドモデルTE-RMを提案し、従来の集中管理やDSMと比較する。スケーラビリティ、規制適合性、AI解釈可能性などの研究ギャップを指摘し、将来の統合方向性を示す。
English
This review systematically classifies transactive energy management (TEM) in multi-vector multi-agent energy systems, analyzing market topology, agent interaction, game-theoretic models, and deployment challenges. It introduces TE-RM, a hybrid model combining AI-powered congestion pricing with coalition formation and fairness-based incentives, and compares it with centralized and conventional DSM methods. Key research gaps including scalability, regulatory fit, and AI interpretability are discussed, with future directions for integrating RL, blockchain, and IoT.
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
日本のエネルギー市場では、再生可能エネルギーの導入拡大に伴う出力抑制や需給調整が課題となっており、本稿のP2P取引や分散型市場設計は、日本版コネクトや需給調整市場の設計に示唆を与える。また、AIを活用した混雑価格設定は、今後のスマートグリッド政策や電力システム改革に参考となる。
In the global GX context
Globally, the shift to decentralized, market-based coordination in energy systems aligns with the growth of distributed energy resources and the need for flexibility. This review's focus on game-theoretic cost allocation and AI-driven congestion pricing offers insights for designing transactive energy markets, relevant to jurisdictions like the EU and US advancing peer-to-peer trading and local flexibility markets.
👥 読者別の含意
🔬研究者:Provides a structured taxonomy of TEM and a novel hybrid model (TE-RM) that can inform future research on AI-driven energy market design.
🏢実務担当者:Offers a comparative framework for evaluating TEM vs. centralized DSM, useful for utilities and aggregators considering P2P trading platforms.
🏛政策担当者:Highlights regulatory gaps and the need for market design that supports decentralized energy trading, informing policy for DER integration.
📄 Abstract（原文）
Global projects are mobilizing technologies to fight power generation curtailment and smooth demand by exploiting excess energy via transactive energy management and control. Sharing and transferring energy between microgrids helps manufacturers and businesses create energy autonomously. The transition to Multi-Vector Multi-Agent Energy Systems (MMV-ES) demands a paradigm shift from traditional centralized control to decentralized, market-based coordination. Transactive Energy Management (TEM) has emerged as a key enabler in this context, supporting local flexibility, peer-to-peer (P2P) trading, and integrated energy vectors across distributed assets. This review systematically decomposes and classifies the existing state of TEM from several perspectives: the market topology, the interaction of the agent, game-theoretic models and the real deployment challenges. Moreover, two game-theory formulations (cooperative and non-cooperative) were given special attention and a detailed comparison between Shapley value and Nucleolus was provided as approaches for fair cost allocation. To enhance the adaptability of the market and the overall efficiency of the system, we introduce the Transactive Energy Reformulation Model (TE-RM), a hybrid model combining AI-powered congestion pricing with coalition formation and fairness-based incentives. The comparative tables in this paper summarize TEM and TE-RM's strengths and weaknesses and compare it to the centralized and conventional DSM methodologies. Lastly, key research gaps including scalability, regulatory fit, and AI model interpretability are reviewed, and future directions are proposed for the integration of future advanced technologies (e.g., reinforcement learning, blockchain, IoT) to enable stable, fair and interoperable energy markets.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.sftr.2026.102073first seen 2026-09-01 05:09:42
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