Control of urban rail transit equipped with ground-based supercapacitor for energy saving and reduction of power peak demand

2015 ◽  
Vol 67 ◽  
pp. 439-447 ◽  
Author(s):  
ZongYu Gao ◽  
JianJun Fang ◽  
YiNong Zhang ◽  
Lan Jiang ◽  
Di Sun ◽  
...  
Keyword(s):  
Energy Saving ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Peak Demand ◽  
Urban Rail ◽  
Power Peak

Thinking of Comprehensive Energy-Saving System Construction for Urban Rail Transit

2014 ◽  
Vol 505-506 ◽  
pp. 405-409
Author(s):  
Jun Ke Liang ◽  
Zhi Gang Liu ◽  
Yuan Chun Huang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Optimization Design ◽  
High Efficiency ◽  
High Energy ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
System Construction ◽  
Planning Period ◽  
Urban Rail

The High Energy Consumption of the Current Urban Rail Transit Industry, High Efficiency Energy Saving Measures must be Taken. this Paper Entity from the Traction Energy Consumption, Building Structure and Operating Equipment Aspects of the Current Situation, Described the Energy Saving Strategies. Aiming at the Present Problems Existing in Energy Saving Practice, this Article Puts Forward the Comprehensive Energy Saving System which Contains Optimization Design in Planning Period, Low Resource Consumption in Construction Period, Energy Saving Work in Operation Period. above all, Implement Energy Saving Practice at Every Concrete Work of Reaching.

scholarly journals Application of Regenerative Braking with Optimized Speed Profiles for Sustainable Train Operation

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Leon Allen ◽  
Steven Chien
Keyword(s):  
Energy Saving ◽  
Travel Time ◽  
Transmission Lines ◽  
Urban Rail Transit ◽  
Regenerative Braking ◽  
Rail Transit ◽  
Time Step ◽  
Urban Rail ◽  
Train Operation ◽  
Storage Limit

This paper presents a method for synergizing the energy-saving strategies of integrated coasting and regenerative braking in urban rail transit operations. Coasting saves energy by maintaining motion with propulsion disabled, but it induces longer travel time. Regenerative braking captures and reuses the braking energy of the train and could shorten travel time but reduces the time available for coasting, indicating a tradeoff between the two strategies. A simulation model was developed based on fundamental kinematic equations for assessing sustainable train operation with Wayside Energy-Saving Systems (WESSs). The objective of this study is to optimize speed profiles that minimize energy consumption, considering the train schedule and specifications, track alignment, speed limit, and the WESS parameters such as storage limit and energy losses in the transmission lines. The decision variables are the acceleration at each time step of the respective motion regimes. Since the study optimization problem is combinatorial, a Genetic Algorithm was developed to search for the solution. A case study was conducted which examined various scenarios with and without WESS on a segment of an urban rail transit line to test the applicability of the proposed model and to provide a platform for the application of ideas developed in this study. It was determined that synergizing the energy-saving strategies of coasting and regenerative braking yielded the greatest efficiency of the scenarios examined.

Operation optimisation of urban rail transit train base on energy saving

2018 ◽  
Vol 12 (1/2/3) ◽  
pp. 1
Author(s):  
Fuyun Liu ◽  
Jianwei Wu ◽  
Zhicong Zhang ◽  
Hao Lu ◽  
Kuan Li
Keyword(s):  
Energy Saving ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Urban Rail

Operation optimisation of urban rail transit train base on energy saving

2018 ◽  
Vol 12 (1/2/3) ◽  
pp. 1
Author(s):  
Kuan Li ◽  
Zhicong Zhang ◽  
Hao Lu ◽  
Fuyun Liu ◽  
Jianwei Wu
Keyword(s):  
Energy Saving ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Urban Rail

scholarly journals Multi-Train Energy Saving for Maximum Usage of Regenerative Energy by Dwell Time Optimization in Urban Rail Transit Using Genetic Algorithm

Energies ◽  
2016 ◽  
Vol 9 (3) ◽  
pp. 208 ◽  
Author(s):  
Fei Lin ◽  
Shihui Liu ◽  
Zhihong Yang ◽  
Yingying Zhao ◽  
Zhongping Yang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Energy Saving ◽  
Dwell Time ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Time Optimization ◽  
Urban Rail ◽  
Regenerative Energy
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