Traction energy optimization considering comfort parameter: A case study in Istanbul metro line

Yildiz, Ahmet; Arıkan, Oktay; Keskin, Kemal

doi:10.1016/j.epsr.2023.109196

Cited by 5 publications

(6 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ref. [8] suggested that the inverter should work immediately at the braking moment, but it ignored the braking positions outside of the train station. In addition, ref.…”

Section: V Busmentioning

confidence: 99%

“…where Î0 t is the real-time recording of train historical data time series collected using ATS, which is shown in (8). I 0 t is the train historical data at per second, which are the only inputs to the model.…”

Section: The Fast Prediction Model Of Train Operation Informationmentioning

confidence: 99%

“…The main substations (MS) are powered by the grid and transform AC 110 kV to AC 35 kV. The energy-saving and cost advantages of the EFS made it widely accepted in the industry [6][7][8]. This paper will primarily focus on the urban rail TPSS with EFS, disregarding friction braking.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Hierarchical Operation Optimization for Regenerative Braking Energy Utilizing in Urban Rail Traction Power Supply System

Zhang,

Zhou

et al. 2023

Energies

View full text Add to dashboard Cite

The energy feedback system (EFS) is widely accepted to utilize the regenerative braking energy (RBE) in an urban rail traction power supply system (TPSS). However, the sharing relationship of RBE between EFS, traction trains and on-board braking resistors is not clear. In addition, the impact of EFS operation on the sharing of RBE has been rarely studied. This paper proposed a hierarchical operation optimization method for improving the utilization of shared RBE in TPSS through the EFS. An optimizing model for the dynamic start-up voltage threshold of EFS is established, with the objective of minimizing TPSS power consumption. A fast prediction model of train operation information is developed to analyze the steady-state power flow in advance. The optimal solution is searched using a salp swarm algorithm (SSA) on a per second basis. A microsystem of three traction stations and two trains is analyzed. Compared to the conventional constant voltage operation scheme, the optimal solution achieves a maximum additional energy-saving efficiency improvement of 2.44%. Efficient sharing of RBE is identified as the key to achieving energy savings. Regarding the local control part, system stability analysis is verified. Real-time simulation results indicate that the dynamic operating mode of EFS efficiently distributes RBE.

show abstract

“…Ref. [8] suggested that the inverter should work immediately at the braking moment, but it ignored the braking positions outside of the train station. In addition, ref.…”

Section: V Busmentioning

confidence: 99%

Section: The Fast Prediction Model Of Train Operation Informationmentioning

confidence: 99%

See 1 more Smart Citation

Hierarchical Operation Optimization for Regenerative Braking Energy Utilizing in Urban Rail Traction Power Supply System

Zhang,

Zhou

et al. 2023

Energies

View full text Add to dashboard Cite

show abstract

“…Many scholars have studied the features and utilization of RB energy consumption of electric transportation systems. The related research focuses on the high-speed railway (HSR) and the metro so far [3][4][5]. Although the MLS maglev possesses great development prospects, there are still relatively few lines in commercial operation, and there are relatively very few research documents related to the MLS maglev RB.…”

Section: Introductionmentioning

confidence: 99%

Positive Rail Voltage Rise Behavior and Inhibition Analysis of Regenerative Braking of Medium–Low-Speed Maglev Train

Huang

2024

Energies

View full text Add to dashboard Cite

When a medium–low-speed (MLS) maglev train is braking, part of its regenerative braking (RB) power consumption may cause a significant rise in the positive rail (PR) voltage. For RB energy re-utilization, an RB energy feedback system (RBEFS) is a promising application, but there is still no specific research in the field of MLS maglev trains. From this perspective, this article focuses on identifying the PR voltage rise behavior and investigating the application of an RBEFS on the over-voltage inhibition. Some development trends of the MLS maglev train, including the DC 3 kV traction grid system and the speed being raised to 160~200 km/h, are also considered in the analyzed scenarios. At first, a modeling scheme of a detailed vehicle–grid electrical power model with the RBEFS is established. On this basis, the PR voltage rise characteristics are analyzed with consideration of three pivotal influencing factors: RB power, PR impedance and supply voltage level. Subsequently, to stabilize the PR voltage fluctuations, the influence rules of the RBEFS on the voltage rise and the mutual transient voltage influences under the operating status switching for multiple vehicles running on the same power supply section are analyzed.

show abstract

“…But it does not deal with the speed regulator. Yildiz, Arikan, and Keskin [3] use genetic algorithms and particle swarm optimisation techniques to optimise a train speed profile, resulting in a claimed energy savings of about 20 %-30 %. Novak, Novak, Morkus, and Sivkov [4] present a simulation of the energy consumption of an electric bus in various driving cycles, and the results are verified by comparison with real world measurements.…”

Section: Introductionmentioning

confidence: 99%

The Use of the Imperialist Competitive Algorithm in Optimising the Setting of the Tram Speed Controller in the Development of a Matlab-Simulink Environment

Kolar,

Demel,

Hrbac

et al. 2023

ELEKTRON ELEKTROTECH

View full text Add to dashboard Cite

Estimating the electric power used by railway vehicles is an important factor in the planning of future power consumption, looking for possibilities to reduce the use of electric power and therefore also reduce carbon emissions. To improve the estimation, we used the imperialist competitive algorithm in the optimisation process of a mathematical model of a tram vehicle. Specifically, in the setting of the proportional and summation constant of the vehicle speed controller which emulates the activity of the driver in the simulation. Our work presents a new approach to optimising the estimation of energy consumption in tram transport. The method used is based on mathematical modelling and simulation of social development in human society. To obtain the input data for the simulation, we performed a measurement of the reference speed by means of a GPS receiver located in a sample tram vehicle. Subsequently, to verify the model and energy calculation results, we measured the output currents and voltage from the traction converter station at the corresponding time. Our method achieved a 93 % match between the measured and simulated power consumption.

show abstract

Traction energy optimization considering comfort parameter: A case study in Istanbul metro line

Cited by 5 publications

References 39 publications

Hierarchical Operation Optimization for Regenerative Braking Energy Utilizing in Urban Rail Traction Power Supply System

Hierarchical Operation Optimization for Regenerative Braking Energy Utilizing in Urban Rail Traction Power Supply System

Positive Rail Voltage Rise Behavior and Inhibition Analysis of Regenerative Braking of Medium–Low-Speed Maglev Train

The Use of the Imperialist Competitive Algorithm in Optimising the Setting of the Tram Speed Controller in the Development of a Matlab-Simulink Environment

Contact Info

Product

Resources

About