Carbon trading and energy management method for multi-microgrids with integrated energy systems
統合エネルギーシステムを備えた複数マイクログリッドのカーボントレーディングとエネルギー管理方法 (AI 翻訳)
Yuzi Jiang, Wei Cui, Zhenan Xu, Zesan Liu, Hongmin Meng, Yanxia Yao, Qiang Zhang, Yi Wu, Chi Yu
🤖 gxceed AI 要約
日本語
本研究は、複数マイクログリッドにおけるカーボントレーディングとエネルギー管理の手法を提案。統合エネルギーシステムを含むマイクログリッドの協調フレームワークを構築し、改良型人工蜂コロニーアルゴリズムを用いて最適化。シミュレーションにより経済性と低炭素運用の向上を確認。
English
This paper proposes a carbon trading and energy management approach for multi-microgrids with integrated energy systems. It introduces a collaborative framework with a carbon trading mechanism and solves a cross-regional dispatch model using an improved artificial bee colony algorithm. Simulation results validate enhanced economic benefits and low-carbon 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
日本のGX文脈では、マイクログリッドとカーボントレーディングの統合は地域エネルギー管理の参考になるが、中国の事例である点に注意。
In the global GX context
This paper offers a practical optimization method for carbon trading in multi-microgrids, relevant to global energy transition efforts. It contributes to the literature on decentralized energy systems and carbon markets.
👥 読者別の含意
🔬研究者:Provides a computational method for optimizing energy dispatch with carbon trading in multi-microgrid systems.
🏢実務担当者:Offers a framework that could be adapted for corporate energy management and carbon trading strategies.
🏛政策担当者:Illustrates how carbon trading mechanisms can be integrated into microgrid operations to achieve economic and environmental goals.
📄 Abstract（原文）
Microgrids are vital components of new power systems. Energy coordination and carbon trading among multiple microgrids facilitate low-carbon operation and enhance economic efficiency. Some microgrids may encompass integrated energy systems, endowing them with greater controllability. Therefore, this paper proposes a carbon trading and energy management approach for multi-microgrids incorporating micro-island integrated energy systems. First, a collaborative framework for multi-microgrids incorporating a carbon trading mechanism is introduced. Subsequently, a cross-regional dispatch and carbon trading model is established and solved using an improved artificial bee colony algorithm. Simulation results validate that this algorithm effectively enhances the economic benefits of energy coordination optimization in multi-microgrid systems, providing practical guidance for their collaborative operation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1117/12.3108202first seen 2026-05-05 19:13:48
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。