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.

到2040年，英国铁路运输需求预计将增长约40%，这是人口增长、社会经济全球化和可持续交通脱碳的结果。铁路网已接近饱和，提高运输能力和效率是铁路网面临的主要挑战。列车自动运行（ATO）与先进的信号系统，如移动闭塞和虚拟耦合，已被研究，以减少列车间隔距离和增加基础设施的能力。然而，越来越多的列车采用先进的操作系统，影响牵引供电系统的性能，例如，列车加速和制动操作的同步增加了峰值功率，并由于再生制动能量损失而降低了能量效率。目前的技术能力不允许列车运行和电力网络之间的准确和实时的交互评估。因此，重要的是要制定一个全面的方法来提高铁路的能力和效率。该合作项目将交流国际合作伙伴在列车运行和牵引电力系统方面的知识，并研究这两个不同系统之间的流动机制。将开发一个具有自适应时标和实时数据馈送的数字孪生模型，以描述连接和协调系统的相互作用。数字孪生的输出精确地复制了现实世界铁路网络的特征。多情景模拟研究分析了各种系统设计和控制变量对基础设施能力、效率和成本等绩效的影响。将对系统性能进行评估，并与现有系统进行比较。该项目将通过双边访问和与全球学术和行业合作伙伴的参与研讨会建立国际伙伴关系。该项目还将为未来优化铁路运力和脱碳效率的合作提供路线图。