Comparison of distributed and lumped parameters stray current models

Fichera, Fabio; Mariscotti, Andrea; Ogunsola, A.; Sandrolini, Leonardo

doi:10.1109/afrcon.2013.6757735

Cited by 8 publications

(2 citation statements)

References 7 publications

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“…The efficiency of the single SCD section k , E scd , k , is given by the ratio of the drained current I scd , k and total stray current I tl , k in that section [ 26 , 31 ], I tl , k = I tr , k +1 − I tr , k . The overall efficiency E scp may be considered as the average of all SCD sections or as the ratio of the SCC current at some point, such as midway between TPS and the total stray current (available straightforwardly from a model [ 1 ], Sec.…”

Section: Stray Current Protectionmentioning

confidence: 99%

Stray Current Protection and Monitoring Systems: Characteristic Quantities, Assessment of Performance and Verification

Mariscotti

2020

Sensors

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Electrified transportation systems (ETSs) are affected by stray current problems impacting within and outside the right of way on reinforcement, buried metal structures and foundations. Stray current protection systems have recently been integrated in the track structure. Track electrical quantities are, thus, usually measured to assess track insulation and protection efficiency but should be backed up by additional measurements at the affected structures and installations, in order to assess their exposure and risk of corrosion. Ideally, a stray current monitoring system proceeds from the measurement of these quantities, to data collection and archival, to data presentation, analysis and prediction. Feasible sensors and probes, the impact of environmental conditions and uncertainty are considered for the measurement at the physical level. Data analysis is critically reviewed considering the variability of operating conditions and the effectiveness of each quantity as indicator of track insulation and protection efficiency. Given the normal spread of values, for data presentation and interpretation, suitable techniques are considered based on averaging, curve similarity and feature extraction, and also for the task of assessing compliance to limits or reference values and establishing a trend that may drive informed maintenance decision.

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Section: Stray Current Protectionmentioning

confidence: 99%

Stray Current Protection and Monitoring Systems: Characteristic Quantities, Assessment of Performance and Verification

Mariscotti

2020

Sensors

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“…In the literature, there are few types of electric-circuit approaches to solve the modeling problem of stray-current effects generated by electrified D.C. railways on buried pipelines: the deterministic model (no electrochemistry) [10][11][12][13][14][15][16][17][18][19], the dynamic model (no electrochemistry) [20][21][22][23], the deterministic model coupled with the electrochemical model [31], the dynamic model coupled with the electrochemical model [25], and the stochastic model without (no electrochemistry) [26] and coupled with electrochemical model [27].…”

Section: Introductionmentioning

confidence: 99%

Modeling Effects of Stochastic Stray Currents from D.C. Traction on Corrosion Hazard of Buried Pipelines

2019

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The main problems discussed in the article concern the analysis of the phenomenon of stray currents generated by electric D.C. traction currents. These currents flow in the ground and, when they encounter an underground metal structure, can lead to the acceleration of electrochemical corrosion. There is a stochastic phenomenon that depends on many factors such as the position of the traction vehicle along the route or the current drawn by it from the traction network. The presented research concerns the use of probabilistic methods to analyze this phenomenon. The proposed algorithm allows determining the occurrence of electrochemical-pipeline corrosion risk for geometrically complex traction-pipeline systems, including many random variables and corrosion phenomena. The non-deterministic solution to such an interdisciplinary problem is an element of novelty.

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Stray current assessment for DC transit systems based on modelling of earthing and bonding

Chuchit

Kulworawanichpong

2019

Electr Eng

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Comparison of distributed and lumped parameters stray current models

Cited by 8 publications

References 7 publications

Stray Current Protection and Monitoring Systems: Characteristic Quantities, Assessment of Performance and Verification

Stray Current Protection and Monitoring Systems: Characteristic Quantities, Assessment of Performance and Verification

Modeling Effects of Stochastic Stray Currents from D.C. Traction on Corrosion Hazard of Buried Pipelines

Stray current assessment for DC transit systems based on modelling of earthing and bonding

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