ADMM-Based Low-Carbon Distributed Dispatch for Multi-Microgrid Systems
マルチマイクログリッドシステムのためのADMMに基づく低炭素分散型ディスパッチ (AI 翻訳)
Chen Wang, Wenzhe Chen, Min Fu, Suhua Lou
🤖 gxceed AI 要約
日本語
本論文は、再生可能エネルギーの普及に伴うマイクログリッドクラスターの運用最適化を扱う。時間帯別料金、デマンドレスポンス、炭素取引コストを組み込んだ低炭素経済ディスパッチモデルを提案し、ADMMによる分散解法を示す。例題分析により、各マイクログリッドのコストと炭素排出量を比較し、分散取引の効果を示した。
English
This paper addresses operational optimization of microgrid clusters with high renewable penetration. It proposes a low-carbon economic dispatch model incorporating time-of-use pricing, demand response, and carbon trading costs, solved via ADMM distributed method. Case studies compare costs and emissions under scenarios with and without distributed trading.
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
日本の電力システムでは、再生可能エネルギーの大量導入に伴い、マイクログリッド間の協調運用が重要になっている。本論文のモデルは、日本における地域エネルギー管理やVPP実証にも応用可能であり、炭素取引コストを明示的に扱う点が注目される。
In the global GX context
Globally, the integration of distributed energy resources and carbon trading mechanisms is critical for grid decarbonization. This paper's distributed dispatch framework using ADMM offers a scalable solution for coordinating multiple microgrids while minimizing costs and emissions, relevant to ongoing smart grid and carbon market developments.
👥 読者別の含意
🔬研究者:Researchers in energy systems and optimization can use the ADMM-based distributed solution method for multi-agent coordination with carbon constraints.
🏢実務担当者:Utility and microgrid operators can adopt the model to balance economic and low-carbon objectives in day-ahead scheduling.
🏛政策担当者:Regulators can consider incorporating carbon trading into distribution-level dispatch policies to incentivize low-carbon operations.
📄 Abstract（原文）
Against the backdrop of continuously increasing renewable energy penetration in the power distribution sector, the coexistence and energy interaction of multiple microgrids will form a microgrid cluster. Its operational optimization requires balancing economic efficiency, low-carbon performance, and multi-agent coordination. This paper focuses on grid-connected microgrid clusters, constructing a low-carbon economic dispatch model that incorporates time-of-use electricity prices, demand response, and carbon trading costs. Under the constraints of demand response, energy storage operation, microgrid power balance, and tie-line capacity limits, the model aims to minimize the total operational cost of the cluster through day-ahead optimal scheduling. By treating the interactive power of microgrids as coupling variables, a distributed solution method based on the alternating direction method of multipliers is proposed. Finally, an example analysis derives low-carbon economic operation strategies and compares the costs and carbon emissions of each microgrid under scenarios with and without distributed trading.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/ecitech69277.2026.11601483first seen 2026-07-25 05:20:43
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