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轨道交通“网-源-储-车”协同供能技术体系

高仕斌 罗嘉明 陈维荣 胡海涛 涂春鸣 陈艳波 肖凡 王飞宽

高仕斌, 罗嘉明, 陈维荣, 胡海涛, 涂春鸣, 陈艳波, 肖凡, 王飞宽. 轨道交通“网-源-储-车”协同供能技术体系[J]. 西南交通大学学报, 2024, 59(5): 959-979, 989. doi: 10.3969/j.issn.0258-2724.20220210
引用本文: 高仕斌, 罗嘉明, 陈维荣, 胡海涛, 涂春鸣, 陈艳波, 肖凡, 王飞宽. 轨道交通“网-源-储-车”协同供能技术体系[J]. 西南交通大学学报, 2024, 59(5): 959-979, 989. doi: 10.3969/j.issn.0258-2724.20220210
GAO Shibin, LUO Jiaming, CHEN Weirong, HU Haitao, TU Chunming, CHEN Yanbo, XIAO Fan, WANG Feikuan. Rail Transit “Network-Source-Storage-Vehicle” Collaborative Energy Supply Technology System[J]. Journal of Southwest Jiaotong University, 2024, 59(5): 959-979, 989. doi: 10.3969/j.issn.0258-2724.20220210
Citation: GAO Shibin, LUO Jiaming, CHEN Weirong, HU Haitao, TU Chunming, CHEN Yanbo, XIAO Fan, WANG Feikuan. Rail Transit “Network-Source-Storage-Vehicle” Collaborative Energy Supply Technology System[J]. Journal of Southwest Jiaotong University, 2024, 59(5): 959-979, 989. doi: 10.3969/j.issn.0258-2724.20220210

轨道交通“网-源-储-车”协同供能技术体系

doi: 10.3969/j.issn.0258-2724.20220210
基金项目: 国家重点研发计划(2021YFB2601500)
详细信息
    作者简介:

    高仕斌(1964—),男,教授,博士,研究方向为变电站综合自动化与继电保护,E-mail:gao_shi_bin@126.com

  • 中图分类号: U223.1

Rail Transit “Network-Source-Storage-Vehicle” Collaborative Energy Supply Technology System

  • 摘要:

    为降低轨道交通系统牵引能耗,轨道交通“网-源-储-车”协同供能技术通过可再生能源的就地消纳,构建新型协同供能技术体系,实现跨时空高效用能. 针对此新型供电系统结构,本文全面分析协同供能系统的物理架构、信息架构和社会架构的基本组成及类型特征;在此基础上,围绕资产能源化的基本概念,总结“荷-源”时空匹配评估方法与优化技术,并从系统角度阐述多源融合技术、保护重构、弹性评估等重要技术体系;重点分析“网-源-储-车”协同的高效能与高弹性的能源自洽技术,并基于人工智能和信息技术构建多层级能量管控系统,实现不同能量流的高效耦合,保障系统安全稳定经济运行. 本文系统性地总结了轨道交通“网-源-储-车”协同供能系统的架构特征、评估优化、安全运维及协同运行等关键技术,阐述协同供能系统的技术组成体系,为协同供能系统的工程实践提供相应参考.

     

  • 图 1  轨道交通“网-源-储-车”协同供能系统结构

    Figure 1.  “Network-source-storage-vehicle”collaborative energy supply system structure of rail transit

    图 2  基于功率融通设备的互联架构

    Figure 2.  Interconnection architecture based on power fusion equipment

    图 3  基于组合式同相供电的互联架构

    Figure 3.  Interconnection architecture based on combined in-phase power supply

    图 4  基于贯通供电的互联架构

    Figure 4.  Interconnection architecture of continuous power supply

    图 5  基于高压直流贯通线的互联架构

    Figure 5.  Interconnection architecture based on HVDC through lines

    图 6  基于物联网的云边协同信息处理技术架构

    Figure 6.  Cloud-side collaborative information processing technology architecture based on the internet of things

    图 7  牵引供电系统产消者运行模式

    Figure 7.  Operation mode of producer and consumer of traction power supply system

    图 8  源-荷时空匹配度评估及优化方法

    Figure 8.  Source-load space-time matching degree evaluation method

    图 9  “源-储”双层协同优化结构

    Figure 9.  “Source-storage” double-layer collaborative optimization structure

    图 10  广域保护结构

    Figure 10.  Basic structure of wide area protection

    图 11  “网-源-车-储”协同能量管理系统

    Figure 11.  “network-source-vehicle-storage” collaborative energy management system

    图 12  北斗时空量测系统

    Figure 12.  Beidou space-time measurement system

    图 13  多目标在线驾驶优化示意

    Figure 13.  Schematic diagram of multi-objective online driving optimization

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  • 收稿日期:  2022-03-24
  • 修回日期:  2022-09-27
  • 网络出版日期:  2024-08-24
  • 刊出日期:  2022-12-01

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