Method for Reconfiguring Train Schedules Taking into Account the Global Reduction of Railway Energy Consumption

Abstract

The paper aims to propose a method of reconfiguring the train timetable, taking into account minimising the globally consumed energy for traction purposes. This is a very important issue in the context of rising electricity prices, alarming climate changes and the “Fit for 55” policy introduced in Europe. Each unit of energy saved contributes to improving the state of the planet and reducing the negative human impact on it. In this paper, the authors propose a model that, when applied, will reconfigure the timetable in terms of energy intensity and, as a result, reduce the impact of railways on the burden on the environment. It is proposed to introduce an interdependence between trajectories of electrical train movement. This interdependence is to take place so that it is possible to efficiently transfer the energy recovered during the braking of one train to another train, moving on the same section of the railway line and at the same time (i.e., without using energy storage devices). The paper provides a physical background to the considerations—discussing the movement of electric trains in the context of their energy intensity and the possibility of energy recovery; presenting the possibility of interconnecting trains in such a way that the energy from a train that is being braked can be efficiently used by a train that is being accelerated; presenting a method for making the linkages between trains (in the form of an original algorithm resulting from the application of the Delphi method) and implementing them in the timetable. The timetable for the application of the method is real and was obtained from the railway operator in Poland, as a mathematical–physical model describing the trajectory and energy consumption of the original, after which the proposed timetable was verified by running simulations and comparing the energy consumption of the original and the proposed timetable. It turned out that it is possible to achieve a global total energy demand reduction of up to 398 MWh/year. This proves the validity of using the proposed algorithm at the timetabling stage and extending its implementation to the entire network. Furthermore the authors also recognise the tendency of the algorithm to return repeatable solutions, which has the side effect of creating a cyclic timetable. Its implementation in Poland has proved impossible for many years. The application of the proposed method could change this unfavourable situation.

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Energy-Saving Optimization Method of Urban Rail Transit Based on Improved Differential Evolution Algorithm

“…However, the optimization method of the traction curve for energy-saving is a multi-objective optimization problem that comprehensively considers the mutual restriction of operation safety, line infrastructure, traction conditions and operation energy-savings [ 17 , 18 , 19 ]. The interaction of multiple factors leads to the difference in train energy consumption in different environments and different operations, among which traction force, braking force, traction condition and braking condition have an obvious influence on the energy consumption of the train [ 18 , 20 , 21 ]. The idling based on the inertial motion of the train is an important operation mode to reduce energy consumption and provides the optimal conditions for energy-saving [ 21 , 22 ].…”