Coordinated Scheduling of Distribution and Microgrids Considering Energy-Reserve-Carbon Multi-Resource Trading
エネルギー・予備力・炭素の複数資源取引を考慮した配電網とマイクログリッドの協調スケジューリング (AI 翻訳)
SUI Quan, WANG Zhongyuan, ZHANG Chuanqing, LIAO Wei, LI Qionglin, ZHANG Di
🤖 gxceed AI 要約
日本語
本論文は、エネルギー・予備力・炭素排出の複数資源取引を考慮した配電網とマイクログリッドの協調最適スケジューリング戦略を提案する。非対称マイクログリッド連合フレームワークを構築し、スタックルベルグゲームに基づく多段階市場清算メカニズムを導入。電気自動車のエネルギー転送を活用し、システム運用コストを12.83%削減することを実証した。
English
This paper proposes a coordinated scheduling strategy for distribution networks and microgrids considering multi-resource trading of energy, reserve, and carbon emissions. It establishes an asymmetric microgrid alliance framework and a Stackelberg game-based multi-level market clearing mechanism, leveraging electric vehicle energy transfer to reduce system operational costs by 12.83%.
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
日本では炭素価格制度の導入が進む中、地域グリッドでの炭素取引と電力運用の統合は重要な課題。本手法は、カーボンプライシングを配電系統の最適化に組み込む具体的なモデルを提供する。
In the global GX context
This research contributes to the global discourse on integrating carbon markets with power system operations, offering a novel framework for distribution-level optimization under multi-resource trading. It is relevant for regions developing carbon pricing mechanisms and distributed energy resource coordination.
👥 読者別の含意
🔬研究者:Game-theoretic approach for multi-resource trading in distribution systems offers a foundation for further study in carbon-market integration.
🏢実務担当者:Distribution system operators and microgrid aggregators can apply the coordinated scheduling model to reduce costs and incorporate carbon constraints.
🏛政策担当者:Provides insights for designing carbon markets that interface with local energy and reserve markets to enhance economic and environmental outcomes.
📄 Abstract（原文）
[Objective] To address the issue of high operational costs in existing distribution networks and multi-microgrids caused by insufficient exploitation of synergistic flexibility， this paper proposes a coordinated optimal scheduling strategy for distribution-microgrids considering multi-resource trading of energy， reserve， and carbon emissions.[Methods] First， by fully considering the heterogeneity in market access qualifications among individual microgrids， a novel asymmetric microgrid alliance （AMGA） framework is established to enable differentiated entities participating in spot and reserve market bidding. On this basis， a Stackelberg game strategy between the distribution network operator （DNO） and AMGA is designed， incorporating a multi-level market clearing mechanism. In the upper-level， the DNO fully accounts for the power flow constraints of the distribution network and implements dynamic pricing of energy， reserve， and carbon targeting different market entities. In the lower-level， AMGA explores the energy transfer potential of Electric Vehicles （EV） to achieve coordinated scheduling of multi-microgrids. Subsequently， an optimization algorithm integrating a bisection method is employed to iteratively solve the scheduling model.[Results] The proposed strategy effectively reduces the operational costs of distribution- microgrid system， improves system economic performance by 12.83%， and ensures efficient grid operation.[Conclusions] This method achieves collaborative optimization and fair benefit distribution among multiple entities while balancing economic efficiency and environmental sustainability.
🔗 Provenance — このレコードを発見したソース
- openalex https://doaj.org/article/a07b622ea0a94a4da702676999d2877cfirst seen 2026-06-06 04:52:50
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