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%.
Two-step method to reduce metro transit energy consumption by optimising speed profile and timetable
IET Intelligent Transport Systems ; 14 , 9 ; 1097-1107
2020-07-13
11 pages
Article (Journal)
Electronic Resource
English
increasing environmental awareness , coasting point searching algorithm , railways , Guangzhou Metro Line , energy efficiency , energy conservation , regenerative braking , railway engineering , linear programming , two-step optimisation method , energy consumption , integer programming , step method , timetable , tractive energy consumption , search problems , metro transit system , regenerative braking energy , metro transit energy consumption , rising energy prices , mixed-integer linear programming model , overlap time , operational energy consumption , optimisation , running time distribution scheme , speed profile
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