Dynamics of Pantograph–Catenary Arc During the Pantograph Lowering Process

Gao, Guoqiang; Hao, Jing; Wei, Wenfu; Hu, Haixing; Zhu, Guangya; Wu, Guangning

doi:10.1109/tps.2016.2601117

Cited by 45 publications

(20 citation statements)

References 25 publications

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“…The air gap between the pantograph and contact line is easily broken down by high voltage in the moment offline, and resulting in pantograph arc [2]. The hazards caused by pantograph arc include threatening the insulation safety of vehicle body equipment [3], making the train receiving current continuously, leading to the unstable running speed of the train [4], generating high-frequency noise, causing certain interference to the communication equipment and communication signal control system along the line [5], generating harmonics injected into the traction power supply network system, reducing the power supply quality [6], ablating the contact line, or even burning the contact wire and causes an accident [7]- [9].…”

Section: Introductionmentioning

confidence: 99%

Pantograph Arc Detection of Urban Rail Based on Photoelectric Conversion Mechanism

2020

IEEE Access

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According to the solar-blind characteristic of the pantograph arc spectrum distribution, an arc detection method based on the photoelectric conversion mechanism for urban rail was proposed, and the design of each part of the arcing detection system was completed. Through the analysis of arc spectral distribution, the 275-285 nm band was determined as the detection characteristic waveband. The optical acquisition system located on the roof of the train collects the arc characteristic light and transmits it to the photoelectric conversion module, which converts the received optical signal into the corresponding current signal linearly. After amplification, comparison and screening in this module, the optical signal is sent to the data processing module for output display. Finally, a field test conducted on an urban rail transit line shows that this arc detection system can effectively detect the pantograph arc phenomenon and reflect the arc intensity linearly avoiding the influence from natural light, train load and train running direction. INDEX TERMS Urban rail, pantograph arc, photoelectric conversion, arcing detection.

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Section: Introductionmentioning

confidence: 99%

Pantograph Arc Detection of Urban Rail Based on Photoelectric Conversion Mechanism

2020

IEEE Access

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“…Liu and Wang respectively proposed the establishment of a pantograph arc separation model based on Mayr or Habedank equation [1], [2]. Gao proposed a method to establish a catenary model based on the classical theory of magnetohydrodynamics, he used the dynamic grid technology to deal with the deviation process between the pantograph and the catenary [3]. The modeling and simulation of pantograph arc can directly understand the principle and process of pantograph arc, but the actual technical method of detecting and diagnosing pantograph arc is not given.…”

Section: Introductionmentioning

confidence: 99%

Application of GWO-SVM Algorithm in Arc Detection of Pantograph

Luo

Wang

2020

IEEE Access

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High-speed train will produce pantograph arc during the driving process, which is harmful to pantograph-catenary system. In order to reduce pantograph-catenary system damage, a method based on Gray Wolf algorithm to optimize the binary Support Vector Machine classifier to identify pantograph arc is proposed. In this paper, 5 groups of pantograph current experiments under different conditions are carried out, and the current data in the pantograph-catenary system under different conditions are measured. The current data state obtained from the pantograph experiments is divided into normal current state and arc current state. Select the mean value, variance, standard deviation, mean value of the first-order difference, and mean value of the second-order difference of the current data as the characteristic value of the pantograph current, and calculate the contribution rate of each characteristic value at the same time, then the current eigenvalue data with a high contribution rate is used as a training sample for learning and recognition through the classifier optimized by Gray Wolf algorithm. The experimental results show that the Gray Wolf optimization algorithm can quickly and accurately identify the pantograph arc, and the classification model obtained is more accurate than the commonly used optimization algorithms such as genetic algorithm and particle swarm. In addition, an engineering implementation of on-line identification of pantograph arc based on industrial computer is proposed.

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“…However, it is difficult to eliminate this pantograph arcing since the voltage and current levels are high and the relative motion between the pantograph and the overhead line cannot be avoided [4,5]. The present research around pantograph arcing has been focused on the analysis of the dynamic characteristic and the model of the arcing [6][7][8]. Ref [6] reviewed the past research progress of pantograph arcing from the different models, including the Cassie and Mayr's and the hybrid arcing model.…”

Section: Introductionmentioning

confidence: 99%

“…Ref [6] reviewed the past research progress of pantograph arcing from the different models, including the Cassie and Mayr's and the hybrid arcing model. Numerical simulation is used to analyze the dynamic characteristics of pantograph arcing, for example, Gao and Hao [7,8] presented the mechanism of how heat dissipation and gas flow field influence the plasma behavior of arcing. Considering the influence of the pantograph/catenary detachment process on the train system, an effective extended black-box model of pantograph arcing is proposed in [9] by introducing a dynamic pantograph and the overhead line detachment trajectory model.…”

Section: Introductionmentioning

confidence: 99%

A Supercapacitor-Based Method to Mitigate Overvoltage and Recycle the Energy of Pantograph Arcing in the High Speed Railway

Xu¹,

Chen²,

Cheng³

et al. 2019

Energies

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The pantograph arcing phenomenon may shorten the service life of a pantograph and even destroy onboard devices and instruments, due to the irregular motions of the train and the intermittent line–pantograph disconnection. This paper points out that abrupt inductive energy from the magnetizing inductance of the traction transformer can lead to an electromagnetic transient process with unexpected overvoltage across it. Further, a supercapacitor-based power electronic system is proposed, which can not only redirect the inductive energy to the supercapacitor pack through bidirectional converters but also mitigate the overvoltage across the main electrical equipment when pantograph arcing occurs. Simulation results show the overvoltage could be reduced and the energy stored in the supercapacitor which could also be used to provide energy for sensors or other devices.

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Dynamics of Pantograph–Catenary Arc During the Pantograph Lowering Process

Cited by 45 publications

References 25 publications

Pantograph Arc Detection of Urban Rail Based on Photoelectric Conversion Mechanism

Pantograph Arc Detection of Urban Rail Based on Photoelectric Conversion Mechanism

Application of GWO-SVM Algorithm in Arc Detection of Pantograph

A Supercapacitor-Based Method to Mitigate Overvoltage and Recycle the Energy of Pantograph Arcing in the High Speed Railway

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