TY - GEN
T1 - Carbon-reducing Train Rescheduling Method for Urban Railway Systems considering the Grid with Wind Power Supply
AU - Wu, Chaoxian
AU - Han, Bing
AU - Lu, Shaofeng
AU - Xue, Fei
AU - Zhong, Fuli
N1 - Funding Information:
This research project is supported and sponsored in part by the Fundamental Research Funds for the Central Universities NO. 2020ZYGXZR087, and in part by the Research Development Funding RDF-21-01-061 at Xi’an Jiaotong-Liverpool University, and in part by the Fundamental Research Funds for the Central Universities, Sun Yat-sen University, (22qntd1602).
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Nowadays, carbon emission reduction has been given the priority in most of the countries around the world to save the mankind and our planet, while transport sector and energy sector are both still with high carbon emission. With the development of the intelligent transportation systems, smart grid technologies and renewable energy integration, the opportunity for the coordination of systems can be achieved. This paper proposes a linear programming model to reschedule the train timetable, where the urban railway system and power system with wind power supply are coordinated to minimize the carbon emission. In the paper, a general railway system with IEEE 30-bus system is adopted in the case studies. The running time of the train for each inter-station section can be rescheduled, and the optimal output of each power plants can also be given after the optimization. The optimal results show that by coordinating the railway system and power system, the energy consumption and carbon emission of the train operation can be reduced by 12.32% and 12.65% respectively when compared with the original solution.
AB - Nowadays, carbon emission reduction has been given the priority in most of the countries around the world to save the mankind and our planet, while transport sector and energy sector are both still with high carbon emission. With the development of the intelligent transportation systems, smart grid technologies and renewable energy integration, the opportunity for the coordination of systems can be achieved. This paper proposes a linear programming model to reschedule the train timetable, where the urban railway system and power system with wind power supply are coordinated to minimize the carbon emission. In the paper, a general railway system with IEEE 30-bus system is adopted in the case studies. The running time of the train for each inter-station section can be rescheduled, and the optimal output of each power plants can also be given after the optimization. The optimal results show that by coordinating the railway system and power system, the energy consumption and carbon emission of the train operation can be reduced by 12.32% and 12.65% respectively when compared with the original solution.
UR - http://www.scopus.com/inward/record.url?scp=85141886059&partnerID=8YFLogxK
U2 - 10.1109/ITSC55140.2022.9922470
DO - 10.1109/ITSC55140.2022.9922470
M3 - Conference Proceeding
AN - SCOPUS:85141886059
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 164
EP - 169
BT - 2022 IEEE 25th International Conference on Intelligent Transportation Systems, ITSC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022
Y2 - 8 October 2022 through 12 October 2022
ER -
