Power Quality Assessment in Railway Traction Supply Systems

Femine, Antonio Delle; Gallo, Daniele; Giordano, D.; Landi, C.; Luiso, Mario; Signorino, Davide

doi:10.1109/tim.2020.2967162

Cited by 48 publications

(27 citation statements)

References 14 publications

(16 reference statements)

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“… Using basic electrical circuit relationships to characterize the behaviour of the circuit and the intensity of the phenomena, such as peak-to-peak variations, rate of rise and rate of fall of transient waveforms, instantaneous impedance, oscillations, etc. [3] , [4] , [5] , [6] . Considering the instantaneous power terms (obtained by the product of the voltage and current quantities) and evaluating the power flow, power dissipation and in general the impact on power consumption and energy efficiency [7] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

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Dataset of measured and commented pantograph electric arcs in DC railways

et al. 2020

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DC railways are characterized by particularly intense arcing caused by pantograph detachment, due to the large current intensity and the general implementation of onboard resonant filters, whose transient response is triggered by electric transients including electric arcs. Electric arc depends on the train speed (the relative speed between the sliding contact over the pantograph and the hot spot on the catenary system), the intensity of the collected pantograph current and the line voltage level. Electric arcs are broadband in nature and can trigger the system transient response dominated by the resonant filter, besides interfering with the operation of onboard equipment (such as for energy conversion and metering).

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Dataset of measured and commented pantograph electric arcs in DC railways

et al. 2020

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“…A part of the kinetic energy of a train transforms into electrical energy during braking. Remarkable research has been carried out on the power quality of recovered energy in references [14][15][16][17][18] from different points of view. Also, different ways have been proposed to utilise the recovered energy.…”

Section: Introductionmentioning

confidence: 99%

Optimal coordinated operation of integrated energy hubs, considering regenerative braking utilization

Akbari

Fazel

Jadid

2021

IET Electrical Syst in Trans

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This article presents a coordinated operation model for energy management of a multiintegrated energy system based on Mixed-Integer Linear Programing (MILP). The power derived by trains from regenerative braking energy (RBE), during deceleration, is utilised to meet the interconnected energy hubs' (IEHs) demand. The recovered energy is calculated by simulating the motion of the trains in MATLAB software. The electricity and heat demand response (DR) programs are integrated into the proposed model to study their impacts on the operating cost and the carbon emission of the IEH, considering several case studies. Furthermore, the uncertainties of the RBE, photovoltaic power generation, and loads of the IEH are considered by formulating the optimisation problem stochastically through a scenario-based approach. Therefore, a scenario generation and reduction decision-making technique is employed. Finally, the GAMS optimisation software is used to assess the efficiency of the presented MILP model. The simulation results indicate that the total operating cost of the IEH reduced 2.0% and 1.4% in the case studies. Also, the CO 2 emission is decreased by about 0.3% by applying the coordination scheme besides the DR programs.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…A typical electric railway system consists of a power system and an OCL (Overhead Contact Line) [2]. The OCL transmits electricity to a railway vehicle through contact with the pantograph installed on its roof [3]. In particular, the pantograph transmits electricity from the OCL to the electric machinery through its contact strip [4].…”

Section: Introductionmentioning

confidence: 99%

Detecting Deformation on Pantograph Contact Strip of Railway Vehicle on Image Processing and Deep Learning

Lee

Shin

et al. 2020

Applied Sciences

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An electric railway vehicle is supplied with electricity by an OCL (Overhead Contact Line) through the contact strip of its pantograph. This transmitted electricity is then used to power the electrical equipment of the railway vehicle. This contact strip wears out due to contact with the OCL. In particular, deformations due to chipping and material loss occur because of friction with the fittings on the OCL. These deformations on the contact strip affect its power transmission quality because of contact loss with the OCL. However, it is difficult to monitor the contact strip during operation and judge its condition in order to implement accident prevention measures. Thus, in this study, we developed a contact strip monitoring method based on image processing for inspection. The proposed method measures the deformation in the contact strip based on an algorithm that determines the wear on the deformed contact strip using deep learning and image processing. The image of the contact strip is acquired by installing a camera and laser to capture the pantograph as it passes the setup. The proposed algorithm is able to determine the wear size by extracting the edges of the laser line using deep learning and estimating the fitted line of the deformations based on the least squares method.

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Power Quality Assessment in Railway Traction Supply Systems

Cited by 48 publications

References 14 publications

Dataset of measured and commented pantograph electric arcs in DC railways

Dataset of measured and commented pantograph electric arcs in DC railways

Optimal coordinated operation of integrated energy hubs, considering regenerative braking utilization

Detecting Deformation on Pantograph Contact Strip of Railway Vehicle on Image Processing and Deep Learning

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