Multi-Agent Systems for Decentralized Control and Management of Active Power Grid Peripheries: A Systematic Review
能動的電力グリッド末端の分散制御と管理のためのマルチエージェントシステム：系統的レビュー (AI 翻訳)
Sultan Mamun, Stelios Ioannou, Nicholas Christofides, Mohamed Darwish
🤖 gxceed AI 要約
日本語
本レビューは、再生可能エネルギーの高普及下における能動的電力グリッド末端（低圧配電網、DER、プロシューマー、EV等）の分散制御・管理に対するマルチエージェントシステム（MAS）の応用を系統的に分析した。160編のQ1論文（2026年3月まで）を対象に、エネルギー管理、電圧・周波数調整、デマンドサイド管理、マイクログリッド協調、EV充電協調などの応用を網羅。通信遅延、サイバーセキュリティ、相互運用性などの課題を指摘し、デジタルツインやブロックチェーンとの統合など6つの研究仮説を提案する。
English
This systematic review analyzes the application of multi-agent systems (MAS) for decentralized control and management of active power grid peripheries, including low-voltage distribution networks, DERs, prosumers, and EVs. Covering 160 Q1 journal articles up to March 2026, it surveys MAS-based energy management, voltage/frequency regulation, demand-side management, microgrid coordination, and EV charging coordination. It identifies challenges such as communication latency, cybersecurity, and interoperability, and proposes six research hypotheses for future integration with digital twins and blockchain.
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
日本は再生可能エネルギーの大量導入とスマートグリッドの推進を進めており、本レビューで示されるMAS技術は、配電系統の分散制御や需給調整に有用な知見を提供する。特に、大量のEVやDERが接続される将来の電力系統において、MASによる自律的な運用は日本のFIT後の系統安定化に寄与する可能性がある。
In the global GX context
Globally, this review contributes to the understanding of MAS as a key technology for enabling high penetration of renewables and distributed energy resources in smart grids. It systematically maps current research gaps and future directions, which is valuable for researchers and system operators transitioning toward decentralized grid architectures.
👥 読者別の含意
🔬研究者:Provides a comprehensive mapping of MAS applications in grid periphery and identifies six underexplored research hypotheses for future work.
🏢実務担当者:Offers insights into potential MAS-based solutions for distributed energy management but lacks detailed implementation guidance for corporate teams.
📄 Abstract（原文）
The transition from centralized fossil fuel-based power systems toward decentralized smart grids with a high penetration of renewable energy sources (RES) introduces substantial challenges in monitoring, control, coordination, and management. These challenges are particularly evident at the active power grid periphery, defined in this work as the decentralized edge layer of modern power systems comprising low-voltage distribution networks, distributed energy resources (DERs), prosumers, energy storage systems, electric vehicles (EVs), and localized intelligent control entities operating near the consumer side of the grid. This review systematically examines the role of multi-agent systems (MASs) in addressing these emerging challenges. A total of 160 articles, drawn predominantly from top-tier Q1 journals and published up to March 2026, were systematically analyzed to evaluate recent methodological advances, identify persistent research gaps, and compare existing problem formulations and mathematical techniques. The review covers MAS-based applications including distributed energy management, voltage and frequency regulation, demand-side management, microgrid coordination, EV charging coordination, resilience enhancement, and cyber-physical supervisory control. The findings indicate that although MASs offer enhanced scalability, flexibility, resilience, and decentralized decision-making capabilities, existing approaches continue to face significant limitations associated with communication latency, cybersecurity vulnerabilities, interoperability constraints, heterogeneous agent dynamics, and limited real-time experimental validation. Furthermore, this review proposes six emerging research hypotheses targeting underexplored domains, presents a methodological decision flowchart for MAS implementation and selection, and discusses future research directions involving the integration of digital twins, blockchain technologies, edge intelligence, and advanced communication architectures with MAS frameworks.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/app16146863first seen 2026-07-13 06:17:46
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