Stray Current Distributing Model in the Subway System: A review and outlook

Wang, Chengtao

doi:10.20964/2018.02.16

Cited by 40 publications

(15 citation statements)

References 36 publications

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“…The stray current can polarize, either anodically or cathodically, the buried pipelines at the anodic or cathodic zone, respectively. Resulting from the distinguishing environments, the specific reaction equation is diverse, which are oxygen absorption corrosion and hydrogen evolutional corrosion [14,15]. Stray currents are mainly conducted through the soil, and thus their scope of influenc is relatively limited.…”

Section: Introductionmentioning

confidence: 99%

Evaluation Model for the Scope of DC Interference Generated by Stray Currents in Light Rail Systems

Wang

et al. 2019

Energies

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Electrochemical corrosion caused by stray currents reduces the lifespan of buried gas pipelines and the safety of light rail systems. Determining the scope of stray current corrosion will help prevent the corrosion of existing buried pipelines and provide an effective reference for new pipeline siting. In response to this problem, in this paper the surface potential gradient was used to evaluate the scope of stray current corrosion. First, an analytical model for the scope of the stray current corrosion combined with distributed parameters and the electric field generated by a point current source was put forward. Second, exemplary calculations were conducted based on the proposed model. Sensitivity of the potential gradient was analyzed with an example of the transition resistance, and the dynamic distribution of surface potential gradient under different locomotive operation modes was also analyzed in time-domain. Finally, the scope was evaluated at four different intervals with the parameters from the field test to judge whether the protective measures need to be taken in areas with buried pipelines and light rail systems nearby or not.

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Section: Introductionmentioning

confidence: 99%

Evaluation Model for the Scope of DC Interference Generated by Stray Currents in Light Rail Systems

Wang

et al. 2019

Energies

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“…The study of these currents is of interest from an engineering point of view, as it results in electrochemical corrosion of metal structures close to the subway system. An updated review of the current distribution models can be found at Wang et al (2018). However, the modeling of stray currents is difficult as all the metallic structures around the railway need to be considered, rail and rail-to-earth resistances can change locally and the grounding system can be more complex than the usually accepted resistor network model.…”

Section: Stray Current Associated To Transportation Systemsmentioning

confidence: 99%

On the observation of magnetic events on broad-band seismometers

Díaz¹,

Ruiz²,

Curto³

et al. 2020

Earth Planets Space

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The objective of this contribution is to get new insights into the effects of magnetic field variations of natural and anthropogenic origin on broad-band seismic stations. Regarding natural sources of magnetic perturbations, we have investigated if the Sudden Storm Commencements (SSC) cataloged during the 24th solar cycle (2008-2019) can be systematically identified in broad-band seismic stations distributed worldwide. The results show that the 23 SSC events with a mean amplitude above 30 nT and most of those with lower energy but still clearly identified in the magnetometer detection network can be observed at broad-band stations' network using a simple low-pass filter. Although the preliminary impulse of those signals is usually stronger at stations located at high latitudes, major SSC are observed at seismic stations distributed worldwide. Regarding anthropogenic sources, we focus on the short period seismic signals recorded in urban environments which are correlated with the activity of the railway transportation system. We have analyzed collocated measurements of electric field and seismic signals within Barcelona, evidencing that significant changes in the electric field following the activity of the transportation systems can be attributed to leakage currents transmitted to the soil by trains. During space weather events, electric currents in the magnetosphere and ionosphere experience large variations inducing telluric currents near the Earth surface, which in turn generate a secondary magnetic field. In the case of underground trains, leakage currents are transmitted to the soil, which in turn can result in local variations in the magnetic field. The observed signals in modern seismometers can be related to the reaction of the suspension springs to these magnetic field variations or to the effect of the magnetic field variations on the force transducers used to keep the mass fixed.

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“…Currently, the URT parameters are measured either online or offline [11]- [13]. Wang et al [14] proposed the field test method after analyzing the impacts of track-earth transition resistance, track potential and longitudinal track resistance on the return system. Liu et al [15] put forward an approach to test the track-earth transition resistance under AC power supply, but the test approach faces large errors.…”

Section: Literature Reviewmentioning

confidence: 99%

Design and Simulation of an Intelligent Current Monitoring System for Urban Rail Transit

Yao

Zhao

et al. 2020

IEEE Access

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Many urban rail transit (URT) systems adopt the DC traction power supply system. Because of the impedance and incomplete ground insulation of the running track, it is inevitable for a part of the traction current to flow into the ground from the track, creating the stray current. This type of current causes great safety hazards to the metal structures in and near the URT system. Considering the power supply mode of the URT, this paper explores the different resistances in each power supply section under unilateral power supply and bilateral power supply. Then, the defects of the current discharge method were identified in the context of stray current protection. To solve these defects, the backpropagation neural network (BPNN) was adopted to build a discharge flow prediction model. On this basis, an intelligent current monitoring system was established for the URT. Finally, the authors simulated the impact of each factor on stray current, and verified the reliability and stability of the proposed monitoring system. Compared with predicted values and the actual values, the prediction agrees with the actual data very well. INDEX TERMS Urban rail transit (URT), backpropagation neural network (BPNN), stray current, current monitoring system.

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Stray Current Distributing Model in the Subway System: A review and outlook

Cited by 40 publications

References 36 publications

Evaluation Model for the Scope of DC Interference Generated by Stray Currents in Light Rail Systems

Evaluation Model for the Scope of DC Interference Generated by Stray Currents in Light Rail Systems

On the observation of magnetic events on broad-band seismometers

Design and Simulation of an Intelligent Current Monitoring System for Urban Rail Transit

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