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基于多智能体强化学习的故障监测传感阵列排布优化方法

马杰 陈延锦 叶学顺 周俊 田野 李廉林

电波科学学报2026,Vol.41Issue(1):163-171,9.
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电波科学学报2026,Vol.41Issue(1):163-171,9.DOI:10.12265/j.cjors.2025151

基于多智能体强化学习的故障监测传感阵列排布优化方法

A multi-agent reinforcement learning-based optimization method for fault monitoring sensor array deployment

马杰 1陈延锦 1叶学顺 2周俊 2田野 3李廉林1

作者信息

  • 1. 北京大学电子学院,北京 100871
  • 2. 中国电力科学研究院有限公司,北京 100192
  • 3. 国网辽宁省电力有限公司电力科学研究院,辽宁 110006
  • 折叠

摘要

Abstract

This work proposes an efficient and intelligent optimization method for sensor array deployment in power distribution network fault monitoring,leveraging multi-agent reinforcement learning(MARL).The method integrates MARL with electromagnetic field physical simulation to achieve adaptive sensor array deployment in complex urban scenarios.A high-fidelity physical simulation engine is constructed using the electromagnetic reciprocity theorem and the shooting and bouncing ray(SBR)method,providing a reliable environment for offline agent training.Through a multi-agent Actor-Critic framework and a comprehensive reward function,agents are able to cooperatively learn and converge to a globally optimal deployment scheme.Experimental results demonstrate that the proposed method consistently and significantly improves monitoring coverage,outperforming random deployment and exhibiting the ability to complete deployment in extremely short time.Furthermore,the method shows excellent task-oriented and constraint-handling capabilities,flexibly adapting to various complex requirements.This research offers a novel solution for electromagnetic sensing-based smart grid operation and maintenance,driving the paradigm shift of sensor array deployment from"manual experience"to"autonomous intelligence".

关键词

多智能体强化学习(MARL)/传感器部署/配电网故障/电磁探测/智能电网

Key words

multi-agent reinforcement learning(MARL)/sensor deployment/power distribution network fault/electromagnetic sensing/smart grid

分类

信息技术与安全科学

引用本文复制引用

马杰,陈延锦,叶学顺,周俊,田野,李廉林..基于多智能体强化学习的故障监测传感阵列排布优化方法[J].电波科学学报,2026,41(1):163-171,9.

基金项目

国家电网有限公司总部科技项目(配电网非接触式无线电感知机理与状态辨识方法研究)(5400-202355545A-3-2-ZN)Science and Technology Project of the Headquaters of State Grid Corporation of China(Research on Non-contact Wireless Sensing Mechanism and State Identification Method for Distribution Network)(5400-202355545A-3-2-ZN) (配电网非接触式无线电感知机理与状态辨识方法研究)

电波科学学报

1005-0388

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