Connected and Coordinated Train Operation and Traction Power Supply Systems (COOPS)

互联协调的列车运行和牵引供电系统 (COOPS)

• 批准号: EP/Y003136/1
• 负责人: Zhongbei Tian
• 金额: $ 21.12万
• 依托单位: University of Birmingham
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FY003136%2F1
• 关键词: Connected; Coordinated; Train; Operation; Traction

The British railway transport demand is forecast to increase by around 40% by 2040, as a result of population growth, socio-economic globalisation and sustainable mobility decarbonisation. The enhancement of capacity and efficiency is the major challenge to the railway network, which is already near saturation conditions. Automatic Train Operation (ATO) with advanced signalling systems, such as Moving Block and Virtual Coupling, have been investigated to reduce train separation distances and increase the infrastructure capacity. However, more trains with advanced operation systems affect the performance of traction power supply systems, For example, the synchronisation of train acceleration and braking operation increases the peak power and reduces the energy efficiency due to regenerative braking energy loss. The current technological capabilities do not permit accurate and real-time interaction assessment between the train operation and power networks. Therefore, it is important to develop a holistic approach to improving railway capacity and efficiency. This collaborative project will exchange the international partners' knowledge in train operation and traction power systems and investigate the flow mechanism between these two distinct systems. A digital twin with adaptive timescales and real-time data feeding will be developed to describe the interactions of the connected and coordinated systems. The outputs from the digital twin replicate the characteristics of real-world railway networks precisely. The multi-scenario simulation studies analyse the impact of various system design and control variables on performance, such as infrastructure capacity, efficiency and cost. The system performance will be evaluated and compared with the existing system. This project will build international partnerships through bilateral visits, and engagement workshops with global academic and industry partners. The project will also provide a roadmap for future collaboration on optimising the railway capacity and efficiency for decarbonisation.

由于人口增长，社会经济全球化和可持续的流动性脱碳，到2040年，英国铁路运输需求预计将增加约40％。能力和效率的提高是对已经接近饱和条件的铁路网络的主要挑战。已经研究了具有先进信号系统的自动火车操作（ATO），例如移动块和虚拟耦合，以减少火车分离距离并增加基础设施的容量。但是，更多具有高级操作系统的火车会影响牵引力供应系统的性能，例如，火车加速和制动操作的同步会增加峰值功率，并降低由于再生制动能量损失而引起的能源效率。当前的技术功能不允许在火车运营和电力网络之间进行准确和实时的互动评估。因此，开发一种改善铁路能力和效率的整体方法很重要。该协作项目将在火车运营和牵引力系统方面交换国际合作伙伴的知识，并研究这两个不同系统之间的流动机制。将开发具有自适应时间尺度和实时数据喂养的数字双胞胎，以描述连接和协调系统的相互作用。数字双胞胎的输出精确地复制了现实世界铁路网络的特征。多阶段仿真研究分析了各种系统设计和控制变量对绩效的影响，例如基础设施能力，效率和成本。系统性能将与现有系统进行评估并进行比较。该项目将通过双边访问建立国际合作伙伴关系，并与全球学术和行业合作伙伴进行参与研讨会。该项目还将为未来的合作提供一个路线图，以优化铁路容量和脱碳的效率。