scholarly journals TransEnergy – a tool for energy storage optimization, peak power and energy consumption reduction in DC electric railway systems

2020 ◽  
Vol 30 ◽  
pp. 101425
Author(s):  
David I. Fletcher ◽  
Robert F. Harrison ◽  
Samadhi Nallaperuma
Keyword(s):  
Energy Consumption ◽  
Energy Storage ◽  
Peak Power ◽  
Railway Systems ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
Storage Optimization ◽  
Electric Railway ◽  
Power And Energy

scholarly journals Peak Power Demand and Energy Consumption Reduction Strategies for Trains under Moving Block Signalling System

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Qing Gu ◽  
Tao Tang ◽  
Fang Cao ◽  
Hamid Reza Karimi ◽  
Yongduan Song
Keyword(s):  
Energy Consumption ◽  
Peak Power ◽  
Target Point ◽  
Power Demand ◽  
Stopping Distance ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
Reduction Strategies ◽  
Consumption Energy ◽  
Arrival Time Delay

In the moving block signalling (MBS) system where the tracking target point of the following train is moving forward with its leading train, overload of the substations occurs when a dense queue of trains starts (or restarts) in very close distance interval. This is the peak power demand problem. Several methods have been attempted in the literature to deal with this problem through changing train’s operation strategies. However, most existing approaches reduce the service quality. In this paper, two novel approaches—“Service Headway Braking” (SHB) and “Extending Stopping Distance Interval” (ESDI)—are proposed according to available and unavailable extra station dwell times, respectively. In these two methods, the restarting times of the trains are staggered and traction periods are reduced, which lead to the reduction of peak power demand and energy consumption. Energy efficient control switching points are seen as the decision parameters. Nonlinear programming method is used to model the process. Simulation results indicate that, compared with ARL, peak power demands are reduced by 40% and 20% by applying SHB and ESDI without any arrival time delay, respectively. At the same time, energy consumptions are also reduced by 77% and 50% by applying SHB and ESDI, respectively.

scholarly journals Optimal control and energy storage for DC electric train systems using evolutionary algorithms

2021 ◽  
Author(s):  
Sam Nallaperuma ◽  
David Fletcher ◽  
Robert Harrison
Keyword(s):  
Energy Consumption ◽  
Energy Storage ◽  
Peak Power ◽  
Energy Use ◽  
Electrical Energy ◽  
Driving Style ◽  
Rail Network ◽  
Railway Systems ◽  
Reduction Of Energy Consumption ◽  
Local Storage

AbstractElectrified railways are becoming a popular transport medium and these consume a large amount of electrical energy. Environmental concerns demand reduction in energy use and peak power demand of railway systems. Furthermore, high transmission losses in DC railway systems make local storage of energy an increasingly attractive option. An optimisation framework based on genetic algorithms is developed to optimise a DC electric rail network in terms of a comprehensive set of decision variables including storage size, charge/discharge power limits, timetable and train driving style/trajectory to maximise benefits of energy storage in reducing railway peak power and energy consumption. Experimental results for the considered real-world networks show a reduction of energy consumption in the range 15%–30% depending on the train driving style, and reduced power peaks.

The effects of variable mechanical parameters on peak power and energy consumption of ankle-foot prostheses at different speeds

2018 ◽  
Vol 32 (23) ◽  
pp. 1229-1240 ◽  
Author(s):  
Dianbiao Dong ◽  
Bryan Convens ◽  
Yuanxi Sun ◽  
Wenjie Ge ◽  
Pierre Cherelle ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Peak Power ◽  
Mechanical Parameters ◽  
Power And Energy

Analysis of energy consumption reduction in metro systems using rolling stop-skipping patterns

2019 ◽  
Vol 127 ◽  
pp. 129-142 ◽  
Author(s):  
Songpo Yang ◽  
Jianjun Wu ◽  
Xin Yang ◽  
Feixiong Liao ◽  
Daqing Li ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
Metro Systems
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