Distributed master-slave game optimization for microgrid clusters considering dual market coupling mechanism of electricity and carbon
電力と炭素の二重市場結合メカニズムを考慮したマイクログリッドクラスターの分散型マスタースレーブゲーム最適化 (AI 翻訳)
Jinjie Ma
🤖 gxceed AI 要約
日本語
本論文は、マイクログリッドクラスターの電気取引と炭素排出権取引における合理的な意思決定のために、分散型マスタースレーブゲームに基づく最適化モデルを提案する。電力市場と炭素市場の二重結合を考慮し、コスト最小化と炭素排出削減を目的とする。シミュレーションにより、提案モデルが経済的利益を向上させ、炭素排出を効果的に削減することを実証した。
English
This paper proposes a distributed master-slave game optimization model for microgrid clusters in the coupled electricity and carbon market. The model minimizes cost and carbon emissions under multiple constraints. Simulation results show improved economic benefits and reduced carbon emissions, enhancing competitiveness in the dual market.
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
本論文は日本において、マイクログリッドクラスターの運用最適化に炭素市場を組み込む手法を示しており、日本の地域エネルギー管理やカーボンプライシング政策との連動が期待される。特に、電力と炭素の二重市場結合は、日本のGX実現に向けた分散型エネルギーシステムの設計に示唆を与える。
In the global GX context
This work contributes to global GX by demonstrating how microgrid clusters can optimize operations under carbon pricing mechanisms. It provides a technical framework for integrating electricity and carbon markets, relevant for regions implementing carbon trading and distributed energy resources.
👥 読者別の含意
🔬研究者:Optimization researchers can adopt the distributed game model for multi-agent energy systems with carbon constraints.
🏢実務担当者:Energy managers can use this framework to design microgrid operations that profit from carbon trading.
🏛政策担当者:Regulators can consider the dual market coupling approach to enhance carbon market efficiency.
📄 Abstract（原文）
With flexible and efficient energy management, more and more microgrid clusters have been used in today's energy systems. To make full use of the microgrid cluster for the purpose of making profits in the economic field and reducing carbon emissions, the interaction between the electricity market and carbon trading market becomes increasingly crucial. In this regard, in this paper, we build up an optimization model based on distributed master-slave game to make reasonable decisions for microgrid cluster in the process of electricity transactions and carbon emission rights trading. First, with dual-market coupling of electricity and carbon as well as the master-slave game method, we study the optimization scheduling and game interaction of microgrid cluster under fluctuating market condition. Second, in view of multiple constraints faced by microgrid cluster under reality condition, an optimization model with the minimization of cost and carbon emissions as objectives is established, along with a corresponding distributed solving algorithm. Finally, we verify the feasibility of our proposed optimization model through simulation experiments. According to the simulation results, the optimization model presented in this paper can not only increase the economic benefits of microgrid cluster in the electricity-carbon market coupling environment but also effectively reduce the amount of carbon emissions. Through the proposed optimization strategy, microgrid cluster will become highly competitive players within the coupled electricity and carbon market environment. At the same time, this research is of great significance for the wider application of green low-carbon energy.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.65102/is2026485first seen 2026-05-21 04:28:15
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