Abstract

We propose a model for optimising driving speed profiles on metro lines to reduce traction energy consumption. The model optimises the cruising speed to be maintained on each section between two stations; the functions that link the cruising speed to the travel time on the section and the corresponding energy consumption are built using microscopic railway simulation software. In addition to formulating an optimisation model and its resolution through a gradient algorithm, the problem is also solved by using a simulation model and the corresponding optimisation module, with which stochastic factors may be included in the problem. The results are promising and show that traction energy savings of over 25% compared to non-optimised operations may be achieved.

Highlights

  • Energy savings, and the reduction in greenhouse gas emissions and air pollutants are major challenges for planners and transport operators

  • We propose a model for optimising driving speed profiles on metro lines to reduce traction energy consumption

  • The results are promising and show that traction energy savings of over 25% compared to non-optimised operations may be achieved

Read more

Summary

A Simulation Approach for Optimising

This paper is an extended version of our paper published in 20th IEEE International Conference on Environment and Electrical Engineering (IEEE EEEIC 2020) and 4th Industrial and Commercial Power.

Introduction
Problem Description
Optimisation Model
Case Study
Results
Results with the GRG Algorithm
Results with Arena and Optquest
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call