TY - JOUR
T1 - Train Speed Trajectory Optimization with On-Board Energy Storage Device
AU - Wu, Chaoxian
AU - Zhang, Wenrui
AU - Lu, Shaofeng
AU - Tan, Zhaoxiang
AU - Xue, Fei
AU - Yang, Jie
N1 - Publisher Copyright:
© 2000-2011 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - Rail transportation is used extensively in urban areas to reduce CO2 emission and increase road capacity. As a result, the energy efficiency of rail transportation is becoming a popular research topic. Energy-efficient train operation involves four types of control: maximal traction, cruising, coasting, and maximal braking. With the rapid development of energy storage devices (ESDs), this paper aims to develop an integrated optimization model to obtain the speed trajectory with the constraint of on-board ESD properties such as capacity, initial state of energy (SOE), and the degradation of the on-board ESD. Mixed integer linear programming is implemented on the discretized distance-based model to find the solution. In addition to the optimal speed trajectory, the on-board ESD discharge/charge operation strategy will be obtained. Results show that with high on-board ESD capacity, a train tends to apply more braking to recover more energy by using ESD; high initial SOE leads to more traction operation but undermines the energy-recovering process; degradation of on-board ESD influences the train operation and net energy consumption by affecting discharge/charge frequency. Additionally, in the case with on-board ESD, more than 11.6% of net energy consumption can be reduced compared with the one without on-board ESD. This paper indicates that the proposed method is an effective and robust way to study how on-board ESD influences optimal train operation as well as to achieve optimal train speed trajectory with on-board ESD.
AB - Rail transportation is used extensively in urban areas to reduce CO2 emission and increase road capacity. As a result, the energy efficiency of rail transportation is becoming a popular research topic. Energy-efficient train operation involves four types of control: maximal traction, cruising, coasting, and maximal braking. With the rapid development of energy storage devices (ESDs), this paper aims to develop an integrated optimization model to obtain the speed trajectory with the constraint of on-board ESD properties such as capacity, initial state of energy (SOE), and the degradation of the on-board ESD. Mixed integer linear programming is implemented on the discretized distance-based model to find the solution. In addition to the optimal speed trajectory, the on-board ESD discharge/charge operation strategy will be obtained. Results show that with high on-board ESD capacity, a train tends to apply more braking to recover more energy by using ESD; high initial SOE leads to more traction operation but undermines the energy-recovering process; degradation of on-board ESD influences the train operation and net energy consumption by affecting discharge/charge frequency. Additionally, in the case with on-board ESD, more than 11.6% of net energy consumption can be reduced compared with the one without on-board ESD. This paper indicates that the proposed method is an effective and robust way to study how on-board ESD influences optimal train operation as well as to achieve optimal train speed trajectory with on-board ESD.
KW - Rail transportation
KW - energy conservation
KW - mixed integer linear programming (MILP)
KW - on-board energy storage device (ESD)
KW - speed trajectory
UR - http://www.scopus.com/inward/record.url?scp=85058173753&partnerID=8YFLogxK
U2 - 10.1109/TITS.2018.2881156
DO - 10.1109/TITS.2018.2881156
M3 - Article
AN - SCOPUS:85058173753
SN - 1524-9050
VL - 20
SP - 4092
EP - 4102
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
IS - 11
M1 - 8571186
ER -