Joint optimization combining the capacity of subway on‐board energy storage device and timetable

Wang, Xiaowen; Sun, Pengfei; Wang, Hongtao; Ding, Junjun; Feng, Xiaoyun

doi:10.1049/itr2.12248

Cited by 6 publications

(3 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, energy storage technologies such as capacitive energy storage can convert the mechanical energy of train brakes into electrical energy and store it for renewable use. , The steel–aluminum composite contact rail traction power supply has low resistance and a strong power supply capacity, which can reduce the number of traction substations and lower the operating and maintenance costs of the power supply system. Using lightweight train bodies, controlling station lighting patterns based on operating hours, and introducing new types of air conditioning and ventilation equipment can help rail transit systems save electricity.…”

Section: Optimization Of Equipment Selection In Mechanical and Electr...mentioning

confidence: 99%

Strategy and Methods for Carbon Emission Mitigation during Construction of Rail Transit

Zhang,

Li,

Cui

et al. 2024

ACS Omega

View full text Add to dashboard Cite

The rail transit construction process produces a large quantity of carbon emission. The carbon emission could be divided into two sources, including direct carbon emission from the construction process and indirect carbon emission by raw material utilization. With the promotion of China National carbon peaking and carbon neutrality goals, it is an industry trend for the rail transit construction company to reduce carbon emission during the construction event. This study provides a detailed overview of the possible carbon emission process and carbon mitigation process during the rail transit construction event and puts forward preliminary carbon mitigation suggestions and strategy for the rail transit construction process. The predominant carbon emission section during rail transit construction is the raw material (including the steel, cement, concrete, tunnel segment), electricity, and fuel consumption during construction. It is suggested that the rail transit construction process could achieve carbon emission mitigation from the following prospects: make careful plans for the raw material selection (such as using recycled concrete, recycled steel, and so forth), improve the construction process to reduce energy waste, and optimize the equipment selection during the mechanical and electrical installment process. By this, the carbon emission could be mitigated during the rail transit construction.

show abstract

Section: Optimization Of Equipment Selection In Mechanical and Electr...mentioning

confidence: 99%

Strategy and Methods for Carbon Emission Mitigation during Construction of Rail Transit

Zhang,

Li,

Cui

et al. 2024

ACS Omega

View full text Add to dashboard Cite

show abstract

“…Even with low per capita energy consumption, the sprawling subway system still consumes a lot of electricity. In China, about 15 billion kWh of energy is consumed by the subway every year, of which about 50% comes from train driving [1]. Therefore, energy-saving optimization for train operation is a possible solution.…”

Section: Introductionmentioning

confidence: 99%

Real‐time multi‐objective speed planning ATO considering assist driving for subway

Wang,

Zhang,

Wang

et al. 2024

IET Intelligent Trans Sys

View full text Add to dashboard Cite

Speed curve planning is one of the most important functions of automatic train operation (ATO). To improve the real‐time optimization capability and driver‐friendliness of the existing ATO, an extended ATO framework considering both automatic driving and assisted driving is designed. A multi‐objective optimization model based on quadratic programming is established considering energy‐saving, punctuality, and comfort. However, due to the influence of the weight of multi‐objectives, this method cannot directly obtain the speed curve satisfying the trip time constraint. Further, based on the analysis about the weight of multi‐objects, a time‐constrained quadratic programming algorithm is proposed. With the proposed method, the speed curve can be calculated in real‐time both before operations and during operations. For the former, time‐varying train mass and trip time are considered to guarantee an optimal solution. For the latter, deviations, delays, and maloperations on the way are corrected. Simulation experiments verify the solvability and real‐time performance of the proposed method. In particular, compared with the dynamic programming and (mixed‐integer linear programming) MILP method, the proposed method is more energy‐efficient and easier to be followed by the driver. In addition, a prototype is developed for commercial tests on a Beijing subway line. The relevant performance is verified in commercial tests.

show abstract

“…The energy consumption calculation model is greatly simplified [32]. Wang et al combine the EETT problem with the on-board energy storage problem and perform a combined optimization [33]. Whether based on simulation, heuristic algorithm, or mathematical programming, eco-driving technology is greatly simplified in similar two-objective research [34,35].…”

Section: Introductionmentioning

confidence: 99%

Two‐objective train operation optimization based on eco‐driving and timetabling

Wang,

Feng,

Sun

et al. 2023

IET Intelligent Trans Sys

Self Cite

View full text Add to dashboard Cite

In urban railway systems, the timetable guides the section operation of the single train and the arrangement of the train group to meet the dual needs of cost and passengers. This paper proposes a two‐objective train operation optimization based on eco‐driving and timetabling to restore a more realistic scene, including a method level and an objective level. For the method level, the speed curve optimization of the single train and the timetable optimization of the train group are adopted jointly. For the objective level, both the total energy consumption of the train group and the consuming time of passengers are considered. A hybrid solution strategy based on quadratic programming and improved artificial bee colony algorithm is proposed. A hardware‐in‐the‐loop platform is built to carry out validation experiments. Both the cases in general hours and special hours are verified based on the actual data from Beijing Metro Line 15. The results show that both the energy consumption and the passenger consuming time are reduced simultaneously. Correspondingly, the speed curve and the time distribution of the timetable are individually optimized based on the fluctuating passenger flow.

show abstract

Joint optimization combining the capacity of subway on‐board energy storage device and timetable

Cited by 6 publications

References 47 publications

Strategy and Methods for Carbon Emission Mitigation during Construction of Rail Transit

Strategy and Methods for Carbon Emission Mitigation during Construction of Rail Transit

Real‐time multi‐objective speed planning ATO considering assist driving for subway

Two‐objective train operation optimization based on eco‐driving and timetabling

Contact Info

Product

Resources

About