Two‐step method to reduce metro transit energy consumption by optimising speed profile and timetable
Two‐step method to reduce metro transit energy consumption by optimising speed profile and timetable
- Neue Suche nach: Jin, Bo
- Neue Suche nach: Sun, Pengfei
- Neue Suche nach: Wang, Qingyuan
- Neue Suche nach: Feng, Xiaoyun
- Neue Suche nach: Jin, Bo
- Neue Suche nach: Sun, Pengfei
- Neue Suche nach: Wang, Qingyuan
- Neue Suche nach: Feng, Xiaoyun
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%.
Dokumentinformationen
Two‐step method to reduce metro transit energy consumption by optimising speed profile and timetable
IET Intelligent Transport Systems ; 14 , 9 ; 1097-1107
2020-09-01
11 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
timetable , step method , tractive energy consumption , metro transit system , overlap time , regenerative braking energy , energy consumption , linear programming , mixed‐integer linear programming model , rising energy prices , railways , search problems , speed profile , Guangzhou Metro Line , optimisation , operational energy consumption , running time distribution scheme , energy conservation , energy efficiency , increasing environmental awareness , coasting point searching algorithm , integer programming , two‐step optimisation method , railway engineering , metro transit energy consumption , regenerative braking
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