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.

scholarly journals Stop Plan of Express and Local Train for Regional Rail Transit Line

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Qin Luo ◽  
Yufei Hou ◽  
Wei Li ◽  
Xiongfei Zhang
Keyword(s):  
Energy Consumption ◽  
Travel Time ◽  
Programming Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Long Distance ◽  
Passenger Travel ◽  
Urban Rail ◽  
Proposed Model ◽  
Rail Line

The urban rail transit line operating in the express and local train mode can solve the problem of disequilibrium passenger flow and space and meet the rapid arrival demand of long-distance passengers. In this paper, the Logit model is used to analyze the behavior of passengers choosing trains by considering the sensitivity of travel time and travel distance. Then, based on the composition of passenger travel time, an integer programming model for train stop scheme, aimed at minimizing the total passenger travel time, is proposed. Finally, combined with a certain regional rail line in Shenzhen, the plan is solved by genetic algorithm and evaluated through the time benefit, carrying capacity, and energy consumption efficiency. The simulation result shows that although the capacity is reduced by 6 trains, the optimized travel time per person is 10.34 min, and the energy consumption is saved by about 16%, which proves that the proposed model is efficient and feasible.

scholarly journals Energy-saving Performance Evaluation of Urban Rail Transit: A Time Schedule Perspective

2020 ◽  
Vol 428 ◽  
pp. 012022
Author(s):  
Jiang Liu ◽  
Qihan Wang ◽  
Jiao Zhang ◽  
Hao Xie
Keyword(s):  
Performance Evaluation ◽  
Energy Saving ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Time Schedule ◽  
Urban Rail

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.

Calibrating travel time thresholds with cluster analysis and AFC data for passenger reasonable route generation on an urban rail transit network

2019 ◽  
Vol 47 (6) ◽  
pp. 3069-3090
Author(s):  
Wei Zhu ◽  
Wei-li Fan ◽  
Amr M. Wahaballa ◽  
Jin Wei
Keyword(s):  
Cluster Analysis ◽  
Travel Time ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Network ◽  
Urban Rail ◽  
Urban Rail Transit Network

scholarly journals Research on Synchronverter-Based Regenerative Braking Energy Feedback System of Urban Rail Transit

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4418
Author(s):  
Shuting Li ◽  
Songrong Wu ◽  
Shiqiang Xiang ◽  
Yabo Zhang ◽  
Josep M. Guerrero ◽  
...  
Keyword(s):  
Dynamic Performance ◽  
Feedback System ◽  
Urban Rail Transit ◽  
Regenerative Braking ◽  
Rail Transit ◽  
Energy Feedback ◽  
Traction Network ◽  
Urban Rail ◽  
Bus Voltage ◽  
Traction Power

Generally running with frequent braking over short distances, the urban rail transit train generates great quantities of regenerative braking energy (RBE). The RBE feedback system can effectively recycle RBE and give it back to the AC grid. However, the lack of damp and inertia of generators makes conventional PWM RBE feedback system more sensitive to power fluctuations. To address this issue, a synchronverter-based RBE feedback system of urban rail transit is designed in this paper. First, the structure of the feedback system is presented. Then, the synchronverter-based control strategy with greater flexibility and higher stability is fully discussed. Furthermore, the parameter design of the system is analyzed in detail. Finally, simulation results and experimental results are provided to show the good dynamic performance of the system. Using this synchronverter-based approach, the system supplies traction power to the traction network when the train accelerates and gives the RBE back to the AC grid when the train brakes, in light of the variation of the DC bus voltage. Moreover, the system can be self-synchronized with the AC grid and make corresponding power management on the basis of changes in the voltage amplitude as well as the frequency of the grid. In this sense, the RBE feedback system becomes more flexible, effective and robust.

scholarly journals Urban Rail Transit Energy Storage Based on Regenerative Braking Energy Utilization

2020 ◽  
Vol 1549 ◽  
pp. 042053
Author(s):  
Jiao Zhang ◽  
Yujie Li ◽  
Hao Xie ◽  
Bin Li
Keyword(s):  
Energy Storage ◽  
Urban Rail Transit ◽  
Energy Utilization ◽  
Regenerative Braking ◽  
Rail Transit ◽  
Urban Rail

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

scholarly journals Fare Optimality Analysis of Urban Rail Transit under Various Objective Functions

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Lianbo Deng ◽  
Zhao Zhang ◽  
Kangni Liu ◽  
Wenliang Zhou ◽  
Junfeng Ma
Keyword(s):  
Simulated Annealing Algorithm ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Elastic Demand ◽  
Benefit Analysis ◽  
Objective Functions ◽  
Passenger Flow ◽  
Urban Rail ◽  
Train Operation ◽  
Annealing Algorithm

Urban rail transit fare strategies include fare structures and fare levels. We propose a rail transit line fare decision based on an operating plan that falls under elastic demand. Combined with the train operation plan, considering flat fare and distance-based fare, and based on the benefit analysis of both passenger flow and operating enterprises, we construct the objective functions and build an optimization model in terms of the operators’ interests, the system’s efficiency, system regulation goals, and the system costs. The solving algorithm based on the simulated annealing algorithm is established. Using as an example the Changsha Metro Line 2, we analyzed the optimized results of different models under the two fare structures system. Finally the recommendations of fare strategies are given.

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