TY - GEN
T1 - Optimization of neutral section location on high-speed railways with consideration of train operations
AU - Miao, R.
AU - Wu, C.
AU - Lu, S.
AU - Xue, F.
AU - Tian, Z.
AU - Hillmansen, S.
N1 - Publisher Copyright:
© 2020 Taylor & Francis Group, London.
PY - 2020
Y1 - 2020
N2 - Neutral Section (NS), also referred to as the “phase separation section”, isan important component for electrified railways. NS leads to forced coasting operation and thus its location has an impact on energy consumptions of train operation for both running directions. This paper proposes a Mixed Integer Linear Programming (MILP) model to optimize the NS location and the train speed trajectory concurrently, so as to achieve a minimum energy consumption of train operation. A case study on a 21-km inter-station journey for high-speed railway is done, and the energy consumptions for the optimal NS location have been calculated and compared with the ones for other NS locations. The energy consumptions for scenarios with various NS locations are calculated by applying the optimal train trajectory with pre-determined NS locations. It is found that the minimum energy consumption based on the optimal NS location can achieve a 1.12% energy-saving rate in comparison to the mean value of energy consumptions for scenarios with other NS locations and can save 6.12% energy consumption comparing to the worst case. This is because the forced coasting resulted from NS contributes less to increase of energy consumption within some areas, where more operations of cruising and coasting are likely to be taken and less traction and braking can be replaced.
AB - Neutral Section (NS), also referred to as the “phase separation section”, isan important component for electrified railways. NS leads to forced coasting operation and thus its location has an impact on energy consumptions of train operation for both running directions. This paper proposes a Mixed Integer Linear Programming (MILP) model to optimize the NS location and the train speed trajectory concurrently, so as to achieve a minimum energy consumption of train operation. A case study on a 21-km inter-station journey for high-speed railway is done, and the energy consumptions for the optimal NS location have been calculated and compared with the ones for other NS locations. The energy consumptions for scenarios with various NS locations are calculated by applying the optimal train trajectory with pre-determined NS locations. It is found that the minimum energy consumption based on the optimal NS location can achieve a 1.12% energy-saving rate in comparison to the mean value of energy consumptions for scenarios with other NS locations and can save 6.12% energy consumption comparing to the worst case. This is because the forced coasting resulted from NS contributes less to increase of energy consumption within some areas, where more operations of cruising and coasting are likely to be taken and less traction and braking can be replaced.
UR - http://www.scopus.com/inward/record.url?scp=85108919992&partnerID=8YFLogxK
U2 - 10.1201/9781003000716-22
DO - 10.1201/9781003000716-22
M3 - Conference Proceeding
AN - SCOPUS:85108919992
SN - 9780367430191
T3 - Sustainable Buildings and Structures: Building a Sustainable Tomorrow - Proceedings of the 2nd International Conference in Sustainable Buildings and Structures, ICSBS 2019
SP - 171
EP - 177
BT - Sustainable Buildings and Structures
A2 - Papadikis, Konstantinos
A2 - Chin, Chee S.
A2 - Galobardes, Isaac
A2 - Gong, Guobin
A2 - Guo, Fangyu
PB - CRC Press/Balkema
T2 - 2nd International Conference in Sustainable Buildings and Structures, ICSBS 2019
Y2 - 25 October 2019 through 27 October 2019
ER -