アグリゲーター主導のシュタッケルベルク調整による蓄電池裁定と地域炭素取引の対話型経済管理・予測対応型電力共有
Interactive economic management and forecast-aware electricity sharing via aggregator-led stackelberg coordination of storage arbitrage and community carbon trading (原題)
Yin Ma, Yue Wu
🤖 gxceed AI 要約
日本語
再生可能エネルギー主体の地域で、アグリゲーター（AOP）が蓄電池（SET）と電力・炭素市場を統合調整する枠組みを提案。シュタッケルベルクゲームとADMMで分散最適化し、プライバシーを保ちつつプロシューマーの需要・取引行動を価格に応じて調整する。中国の6世帯模擬では再エネ利用率15〜17%増、システム利益約12%増、炭素排出約3%減、社会厚生10%超改善を示した。
English
This study proposes an aggregator-led framework coordinating PV prosumers, storage units, and coupled electricity–carbon markets via a Stackelberg game solved with ADMM for privacy-preserving distributed optimization. Prosumers shift demand and trading in response to time-varying electricity–carbon prices, with tradable emission reduction credits adding carbon revenue. Simulations of a six-prosumer Chinese community show 15–17% higher renewable utilization, ~12% higher system profit, ~3% lower emissions, and >10% welfare gains versus independent operation.
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
地域単位の電力・炭素同時取引と蓄電池裁定は、日本の非化石証書・J-クレジットやアグリゲーション型需給調整市場の設計議論に示唆を与える。SSBJ開示とは直接結びつかないが、地域脱炭素モデルとして参考になる。
In the global GX context
Adds to global scholarship on local electricity–carbon market coupling and storage arbitrage, relevant to emerging carbon-market and demand-flexibility designs beyond EU ETS/CSRD frameworks. Demonstrates distributed game-theoretic coordination as a template for community-level decarbonization and tradable emission reduction schemes.
👥 読者別の含意
🔬研究者:分散最適化とゲーム理論を電力・炭素市場統合に適用する手法の実証例として参照できる。
🏢実務担当者:蓄電池裁定と地域炭素収入を組み合わせた収益機会の設計に活用できる。
🏛政策担当者:地域レベルの電力・炭素同時取引制度やアグリゲーター制度設計の参考になる。
📄 Abstract（原文）
This study develops an interactive economic management framework for electricity–carbon trading in renewable-rich communities by coordinating photovoltaic (PV) prosumers through an Aggregator of Prosumers (AOP), Storage e-Transportable (SET) units, and coupled market signals. The AOP jointly manages electricity and carbon transactions, dynamic buying and selling prices, SET charging and discharging, and cross-period storage arbitrage to improve solar-energy utilization and support community decarbonization. A hierarchical Stackelberg game represents the asymmetric interaction between the AOP as leader and prosumers as followers, while the Alternating Direction Method of Multipliers (ADMM) enables distributed optimization with privacy-preserving local decisions. Prosumers adapt shiftable demand and electricity-trading behavior in response to time-varying electricity–carbon prices, whereas tradable emission reduction (TER) credits provide an additional carbon-related revenue stream. An Eco-Social Welfare (ESW) model integrates economic efficiency, carbon mitigation, participation fairness, renewable-energy utilization, and social engagement. Simulations for a six-prosumer urban community in China show that coordinated operation increases renewable-energy utilization by approximately 15–17%, raises total system profit by about 12%, and reduces community carbon emissions by around 3% relative to independent operation. The ESW assessment further indicates an overall welfare improvement exceeding 10%. These results demonstrate how storage arbitrage, distributed Stackelberg coordination, and electricity–carbon trading can jointly enhance flexible renewable utilization, economic interaction, and low-carbon community operation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.fuproc.2026.108632first seen 2026-10-28 04:51:51 · last seen 2026-11-06 04:47:14
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
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。