Multi-Agent Systems for Decentralized Control and Management of Active Power Grid Peripheries: A Systematic Review

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Provides a structured overview of MAS applications in smart grids, identifying research gaps and future directions.

🏢実務担当者:Offers insights on MAS-based control strategies for distribution system operators and DER aggregators.

🏛政策担当者:Highlights technical challenges and standards needed for decentralized grid control, informing regulatory frameworks.

The transition from centralized fossil fuel-based power systems toward decentralized smart grids with high penetration of renewable energy sources (RESs) 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 Q1 journal articles 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. Unlike previous review studies, this work provides a systematic comparison between MAS-based architectures and hierarchical industrial control frameworks based on IEC 61850 standards while identifying the absence of standardized benchmarking platforms as a critical limitation within the existing literature. Overall, this paper aims to serve as a comprehensive reference for researchers and practitioners seeking to design, evaluate, and implement MAS-driven control and management strategies for future active power grid peripheries.

• Research Square https://doi.org/10.20944/preprints202605.1579.v1first seen 2026-05-26 04:22:19 · last seen 2026-06-08 04:22:33
• openalex https://doi.org/10.20944/preprints202605.1579.v1first seen 2026-06-14 04:24:55 · last seen 2026-06-16 04:41:16