A problem of peak power in DC-electrified railway systems is mainly caused by train power demand during acceleration. If this power is reduced, substation peak power will be significantly decreased. This paper presents a study on optimal energy saving in DC-electrified railway with on-board energy storage system (OBESS) by using peak demand cutting strategy under different trip time controls. The proposed strategy uses OBESS to store recovered braking energy and find an appropriated time to deliver the stored energy back to the power network in such a way that peak power of every substations is reduced. Bangkok Mass Transit System (BTS)-Silom Line in Thailand is used to test and verify the proposed strategy. The results show that substation peak power is reduced by 63.49% and net energy consumption is reduced by 15.56% using coasting and deceleration trip time control.
This paper is to demonstrate the use of MATLAB Object-Oriented Programming (OOP) for developing Multi-Train Movement Simulation (MTMS). Dynamic performance of the train movement is modeled with the help of Newton’s law of motion. Train movement in this work is based on a sequence of four operating modes: i) accelerating mode, ii) constant speed or cruising mode, iii) coasting mode and iv) braking mode. The design concept of a train movement class is described with its properties and methods. To evaluate its use, the proposed train movement simulator developed here is tested against Bangkok Transit System (BTS) – Sky Train Silom Line. This system has the service distance of 13-km and is fed by seven 750-V DC power sources through its 3rd rail. The results showed the effectiveness of the proposed simulator.
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