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自愈控制方法及其在地铁供电系统中的应用研究与展望

冯剑冰 余涛 程乐峰

综合智慧能源2025,Vol.47Issue(4):41-62,22.
综合智慧能源2025,Vol.47Issue(4):41-62,22.DOI:10.3969/j.issn.2097-0706.2025.04.004

自愈控制方法及其在地铁供电系统中的应用研究与展望

Research and prospects of self-healing control methods and their applications in metro power supply systems

冯剑冰 1余涛 2程乐峰3

作者信息

  • 1. 华南理工大学 电力学院,广州 510640||广州地铁建设管理有限公司,广州 510330
  • 2. 华南理工大学 电力学院,广州 510640
  • 3. 广州大学机械与电气工程学院,广州 510006
  • 折叠

摘要

Abstract

Metro is a crucial part of urban public transportation,and the stability and reliability of its power supply systems are of paramount importance.Unlike traditional high-voltage transmission networks,metro power supply systems operate within a closed AC-DC hybrid network,facing unique challenges such as highly dynamic load variations and short but densely distributed power supply links.Self-healing control ensures safe and continuous operation in the event of faults through real-time monitoring,intelligent diagnosis,and automatic recovery.Research progress on self-healing control methods for power supply systems is reviewed,with a focus on control architectures,intelligent optimization,and fault diagnosis methods.Based on the characteristics of metro power supply systems,the applications of multi-agent systems(MAS)and the IEC 61850 communication standard in self-healing control are explored.Given the trend of integrating distributed energy sources into metro power supply systems,a series of self-healing control strategies are proposed to effectively reduce dependence on centralized power supply.Additionally,emerging research directions based on big data,intelligent algorithms,and distributed control are discussed,providing key technical support for self-healing control in metro power supply systems.

关键词

地铁供电系统/自愈控制/多智能体系统/IEC61850/故障诊断/智能优化/人工智能/大数据/分布式能源

Key words

metro power supply system/self-healing control/multi-agent system/IEC 61850/fault diagnosis/intelligent optimization/artificial intelligence/big data/distributed energy resources

分类

能源科技

引用本文复制引用

冯剑冰,余涛,程乐峰..自愈控制方法及其在地铁供电系统中的应用研究与展望[J].综合智慧能源,2025,47(4):41-62,22.

基金项目

广州市教育局高校科研项目(2024312278) Guangzhou Municipal Education Bureau Higher Education Research Project(2024312278) (2024312278)

综合智慧能源

2097-0706

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