System energy optimisation of metro-transit system using Monte Carlo Algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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External organisations

  • University of Birmingham


With rising concerns on energy and environment, the energy-efficient operation techniques in railway systems are paid more attention in recent years. The metro-transit system has some distinguishing features like short headway and a high number of stations with short interstation distance, which makes effectively using regenerative energy becoming more significant in the energy-saving study. This paper illustrates a system energy optimisation approach to reduce global substation energy consumption, using Monte Carlo Simulation. The conception of substation and regenerative energy estimation is proposed in the optimisation. A railway power network simulation is utilised to validate the energy-saving performance in Beijing Yizhuang Subway Line. After applying efficient-driving strategies remaining current timetable, the substation energy can be reduced by 29.9% compared with current operation. By slightly changing the journey time of each interstation, the substation energy consumption can be reduced by additional 13.8% due to an increasing usage of regenerative braking energy.


Original languageEnglish
Title of host publication2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT) 2016
Publication statusPublished - Oct 2016
EventIEEE International Conference on Intelligent Rail Transportation, 2016 - Birmingham, United Kingdom
Duration: 23 Aug 201625 Aug 2016


ConferenceIEEE International Conference on Intelligent Rail Transportation, 2016
CountryUnited Kingdom