Timetable Optimization on the Railway Line Electrified in a DC Power System in Terms of Energy Consumption Using the Particle Swarm Optimization

Włodzimierz Jefimowski

Last modified: 2017-02-28


The paper presents the results of the investigation of timetable influence on energy consumption and peak power demand on a DC electrified railway. The aim of the investigation is to optimize a timetable in terms of energy consumption and coasts. The original railway timetable was modified to insure the highest receptivity of the overhead catenary system (OCS) for the trains braking with recuperation. For this purpose the Particle Swarm Optimization has been used in connection with the program carrying out the parallel train performance calculations with the power flow calculation in the DC rail supply system with the recuperative braking. The optimization has been done taking into account the restrictions resulting from passenger waiting time.


Electric traction; energy consumtion; timetable; Particle Swarm Optimisation

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