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Two-step method to reduce metro transit energy consumption by optimising speed profile and timetable
IET Intelligent Transport Systems ( IF 2.3 ) Pub Date : 2020-08-31 , DOI: 10.1049/iet-its.2019.0103
Bo Jin 1 , Pengfei Sun 1 , Qingyuan Wang 1 , Xiaoyun Feng 1
Affiliation  

With the rising energy prices and increasing environmental awareness, the energy efficiency of metro transit system has attracted much attention in recent years. This study proposes a two-step optimisation method to optimise speed profile and timetable, aiming to reduce the operational energy consumption of metro transit system. First, a coasting point searching algorithm is designed to reduce tractive energy consumption by optimising speed profile and running time distribution scheme. Then, a mixed-integer linear programming model is constructed to maximise the overlap time between the accelerating and braking phases by optimising headway and dwell time, in order to improve the utilisation of regenerative braking energy (RBE). Furthermore, numerical simulations are presented based on the data from a Guangzhou Metro Line. The results show that the tractive energy consumption can be reduced by 8.46% and the utilisation of RBE can be improved by 11.6%.

中文翻译:

通过优化速度曲线和时间表减少地铁交通能耗的两步法

随着能源价格的上涨和环保意识的增强,近年来地铁运输系统的能效已经引起了人们的广泛关注。本研究提出了一种两步优化方法来优化速度曲线和时间表,以减少地铁系统的运行能耗。首先,设计了一种滑行点搜索算法,以通过优化速度曲线和运行时间分配方案来减少牵引能耗。然后,构建混合整数线性规划模型,以通过优化行驶距离和停留时间来最大化加速阶段和制动阶段之间的重叠时间,以提高再生制动能量(RBE)的利用率。此外,基于广州地铁的数据进行了数值模拟。
更新日期:2020-09-01
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