Analysis of an IoT-Based Multi-Agent Relay Protection System and Cooperative Control Strategies

In modern power systems, relay protection plays a crucial role in maintaining the grid's safety and stability, and its importance cannot be overstated. However, as power systems grow more complex and intelligent, traditional relay protection methods are increasingly inadequate. The emergence of Internet of Things (IoT) technology presents new opportunities for advancing relay protection. IoT technology enables device interconnection and information sharing through sensors, communication networks, and data processing techniques, providing robust support for the collaborative control of intelligent relay protection systems. Additionally, Multi-agent deep reinforcement learning algorithms can facilitate continuous interaction and learning, enhancing the dynamic perception capabilities of protective relay systems and their adaptability to the power system environment. These intelligent agents can make optimized relay protection decisions based on dynamic changes within the system. This paper analyzes the current status and challenges of multi-agent relay protection technology and explores its practical applications in smart grids.

Authors

Institutions

Publication Details

Published
2025-04-15
DOI
https://doi.org/10.1109/acpee64358.2025.11040742
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of an IoT-Based Multi-Agent Relay Protection System and Cooperative Control Strategies

Jia‐Qi Huang, Rui Gao, Qisheng Liu, Shao Ling et al.
Power Systems Fault Detection
article

Analysis of an IoT-Based Multi-Agent Relay Protection System and Cooperative Control Strategies

Jia‐Qi Huang, Rui Gao, Qisheng Liu, Shao Ling, Chen Ruiyi, Jiang Xingwang, Zhang Guanbao
article en

Abstract

In modern power systems, relay protection plays a crucial role in maintaining the grid's safety and stability, and its importance cannot be overstated. However, as power systems grow more complex and intelligent, traditional relay protection methods are increasingly inadequate. The emergence of Internet of Things (IoT) technology presents new opportunities for advancing relay protection. IoT technology enables device interconnection and information sharing through sensors, communication networks, and data processing techniques, providing robust support for the collaborative control of intelligent relay protection systems. Additionally, Multi-agent deep reinforcement learning algorithms can facilitate continuous interaction and learning, enhancing the dynamic perception capabilities of protective relay systems and their adaptability to the power system environment. These intelligent agents can make optimized relay protection decisions based on dynamic changes within the system. This paper analyzes the current status and challenges of multi-agent relay protection technology and explores its practical applications in smart grids.

China Huadian Corporation (China) (CN)
Openalex Percentile: Top 83%
Power Systems Fault Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.