摘要
面对城轨交通网络扩张所带来的挑战,聚焦于如何降低网络化运营过程中的能耗问题,提出建立城轨云平台并开发一种新型列车节能优化模型,该模型通过优化不同线路上列车的发车间隔和增加牵引与制动工况的重叠量,显著提升再生制动能量的利用率,从而有效降低线网的运行能耗。同时,云平台的网络存储功能进一步促进线路间资源共享及互联互通运营。研究不仅指明轨道交通的未来发展方向,还在资源共享、运维管理等方面展示其重要的科学价值和实践意义。
To address the challenges brought by the expansion of the urban rail transit network,this paper focuses on the problem of how to reduce energy consumption during networked operations,and proposes the establishment of a cloud platform for urban rail transit and the development of a new optimization model for train energy saving.The proposed model significantly enhances the utilization rate of regenerative braking energy by optimizing the train headways across different lines and increasing the overlap in traction and braking scenarios,and thus eff ectively reduces the energy consumption for the network’s operations.Moreover,the network storage function of the cloud platform further promotes the resource sharing and interoperable operations among various lines.This research not only charts a course for the future development of urban rail transit,but also has significant scientific and practical value in terms of resource sharing as well as operation and maintenance management.
作者
于柯
马凯
邵传波
张慧
Yu Ke;Ma Kai;Shao Chuanbo;Zhang Hui(Beijing Metro Operation Co.,Ltd.,Beijing 100044,China;School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China;Unicom Digital Technology Co.,Ltd.,Beijing 100031,China;Beijing Metro Technology Development Co.,Ltd.,Beijing 100070,China)
出处
《铁路通信信号工程技术》
2024年第10期80-87,107,共9页
Railway Signalling & Communication Engineering
基金
北京市地铁运营有限公司2023年科研计划项目(2023000501000003)。
关键词
城市轨道交通
节能驾驶曲线
运行图优化
互联互通
城轨云平台
urban rail transit
energy-saving driving curve
train graph optimization
interoperability
cloud platform for urban rail transit
作者简介
第一作者:于柯(1983-),男,高级工程师,硕士,主要研究方向:轨道交通信号控制、智能交通控制与优化,邮箱:yuke01212177@163.com。
