Optimizing real-time energy control in hybrid low-voltage microgrids using a multi-agent approach
ハイブリッド低圧マイクログリッドにおけるマルチエージェントアプローチを用いたリアルタイムエネルギー制御の最適化 (AI 翻訳)
Hafiane, Doha El, Magri, Abdelmounime El, Myasse, Ilyass El, Mansouri, Adil, Lajouad, Rachid
🤖 gxceed AI 要約
日本語
本論文は、マルチエージェントシステム（MAS）を用いたハイブリッド低圧マイクログリッドのリアルタイムエネルギー管理フレームワークを提案。JADEとMATLAB/Simulinkによる協調シミュレーションにより、系統連系・独立両モードで再生可能エネルギー利用率を10%向上、総エネルギーコストを7.6%削減することを実証。MASの分散制御が変動電源や負荷変動に対して堅牢であることを示した。
English
This paper proposes a real-time energy management framework for hybrid low-voltage microgrids using multi-agent systems (MAS). Co-simulated with JADE and MATLAB/Simulink, the approach increases renewable energy utilization by 10% and reduces total energy costs by 7.6% under both grid-connected and islanded modes, demonstrating robustness to intermittency and load fluctuations.
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
日本でも災害時エネルギーレジリエンス向上のためマイクログリッド導入が進むが、本論文のMASベースの分散制御は、FIT後の系統安定化や地域エネルギー管理に示唆を与える。SSBJやTCFDとは直接関係しないが、実運用面でのGX貢献が期待される。
In the global GX context
Globally, decentralized energy management is critical for integrating high shares of renewables. This MAS-based control offers a scalable, cost-effective solution for microgrid operators, aligning with energy transition goals and supporting grid resilience—a key aspect of climate adaptation.
👥 読者別の含意
🔬研究者:Provides a validated MAS framework for real-time microgrid control, with simulation results showing 10% higher RE utilization and 7.6% cost savings.
🏢実務担当者:Offers a practical decentralized control approach that reduces energy costs and improves renewable integration, applicable to community or industrial microgrids.
📄 Abstract（原文）
This research proposes a real-time framework for energy management and control in hybrid low-voltage microgrids (LVMGs) through multi-agent systems (MAS). The proposed framework enables decentralized and autonomous coordination among renewable energy sources, energy storage systems, loads, and the utility grid to dynamically optimize power flows under varying operating conditions. Each agent adjusts its setpoints using local information while cooperating with other agents to achieve global objectives. The MAS is implemented using The Java Agent Development Framework (JADE) and co-simulated with MATLAB/Simulink to accurately represent the microgrid’s physical behavior. Simulation results under grid-connected and islanded modes demonstrate that the proposed approach increases renewable energy utilization by up to 10% and reduces total energy costs by 7.6% compared to conventional centralized control schemes. Moreover, the system exhibits strong adaptability and robustness in the presence of renewable intermittency and load fluctuations, ensuring reliable real-time operation. These results confirm that MAS-based control provides an effective, scalable, and resilient solution for real-time energy management in hybrid LVMGs.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/20620152first seen 2026-06-10 04:13:57 · last seen 2026-06-10 04:18:15
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