二国間炭素責任配分を伴うマルチマイクログリッドシステムにおけるP2P電力・炭素取引
Peer-to-peer electricity and carbon trading in a multi-microgrid system with bilateral carbon responsibility allocation (原題)
Nike Liu, Zhiyu Xu, Yuanbo Zhang, Yaxin Tan
🤖 gxceed AI 要約
日本語
配電網に接続されたマルチマイクログリッド（MMG）システムを対象に、P2P電力・炭素取引の二層最適化フレームワークを提案。上層で配電網運用、下層でナッシュ交渉に基づく取引メカニズムを設計し、フロー基準の二国間炭素責任配分を導入。IEEE 33バス系統のケースで、集中取引比27.92%の社会コスト削減と最低炭素排出を達成した。
English
A bi-level optimization framework is proposed for peer-to-peer electricity and carbon trading in a multi-microgrid system connected to a distribution network. It combines flow-based bilateral carbon responsibility allocation with a Nash bargaining mechanism solved via consensus ADMM. Case studies on a modified IEEE 33-bus system show up to 27.92% social cost reduction versus centralized trading while achieving the lowest actual carbon 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
日本では電力システム改革と非化石証書・炭素中立市場の設計が進行中であり、配電網レベルでのP2P電力・炭素取引と炭素責任配分の枠組みは、地域マイクログリッドやアグリゲーション事業の制度設計に示唆を与える。SSBJや有報でのScope 3開示とは直接連動しないが、企業の再エネ調達・炭素会計の精緻化に寄与しうる。
In the global GX context
Globally, this work speaks to the integration of electricity and carbon markets, a key theme in ISSB/CSRD-adjacent discussions on Scope 2 market-based accounting and carbon pricing. The flow-based bilateral responsibility allocation offers a methodological contribution to fair burden-sharing between producers and consumers, relevant to emerging P2P trading and carbon market linkage pilots in the EU and Asia.
👥 読者別の含意
🔬研究者:P2P取引と炭素責任配分を統合した二層最適化の定式化とADMM分散解法が参考になる。
🏢実務担当者:マイクログリッド運営者やアグリゲーターが、炭素責任を考慮した取引設計とコスト削減効果を検討する際の基礎となる。
🏛政策担当者:配電網レベルでのP2P電力・炭素取引の制度設計や炭素責任配分ルールを検討する際の参考事例となる。
📄 Abstract（原文）
Abstract Against the backdrop of global decarbonization, the integration of electricity and carbon markets has attracted increasing attention for its potential to improve the sustainability of power systems. A novel bi-level optimization framework is proposed for peer-to-peer (P2P) electricity and carbon trading in a multi-microgrid (MMG) system embedded in a distribution network, where grid security and fair carbon responsibility allocation are jointly considered. At the upper level, an optimal scheduling model for the distribution network is formulated to maintain network stability and improve operational efficiency under network constraints. To capture the dynamic carbon emission characteristics of the MMG system, a flow-based bilateral carbon responsibility allocation method is developed to provide a more refined and balanced allocation of carbon responsibility between the producer and consumer sides. At the lower level, a Nash bargaining-based mechanism is designed for P2P electricity and carbon trading, through which intra-microgrid scheduling and inter-microgrid trading strategies are jointly optimized and the cooperative surplus is fairly distributed. Owing to its nonconvex and nonlinear structure, the bargaining model is decomposed into two subproblems and solved in a distributed manner using the consensus alternating direction method of multipliers. Case studies based on a modified IEEE 33-bus distribution system show that the proposed framework reduces the total social cost by 27.92%, 9.15%, and 6.35% compared with centralized trading, CDA-based P2P trading and non-cooperative P2P trading respectively, while maintaining network safety and achieving the lowest actual carbon emissions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1088/2631-8695/aea3b4first seen 2026-10-01 04:52:07
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