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IEEE Transactions on Power Systems
Article . 2010 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Electromagnetic Model of High Speed Railway Lines for Power Quality Studies

Authors: BRENNA, MORRIS; FOIADELLI, FEDERICA; ZANINELLI, DARIO;
handle: 11311/574678
Electromagnetic Model of High Speed Railway Lines for Power Quality Studies
Abstract
This paper presents a detailed model of the AC 2 × 25 kV High Speed/High Capacity (HS/HC) railway lines in order to dynamically analyze the electric systems. The power quality analysis reported here is important considering that these lines are directly connected to the high voltage (HV) transmission grid and also that the control and auxiliary devices are directly connected to the feeder wire. The accuracy of the results, obtained by carrying out numerous simulations, was confirmed via comparison with dedicated experimental surveys on the lines during their operation.
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Italy
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citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).72 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
72
Top 10%
Top 1%
Top 10%
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Energy Research