Traction power substation balance and losses estimation in AC railways using a power transfer device through Monte Carlo analysis Article Swipe
Vítor Morais
,
António Martins
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1007/s40534-021-00261-y
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1007/s40534-021-00261-y
The high dynamic power requirements present in modern railway transportation systems raise research challenges for an optimal operation of railway electrification. This paper presents a Monte Carlo analysis on the application of a power transfer device installed in the neutral zone and exchanging active power between two sections. The main analyzed parameters are the active power balance in the two neighbor traction power substations and the system power losses. A simulation framework is presented to comprise the desired analysis and a universe of randomly distributed scenarios are tested to evaluate the effectiveness of the power transfer device system. The results show that the density of trains and the relative branch length of a traction power substation should be considered in the evaluation phase of the best place to install a power transfer device, towards the reduction of the operational power losses, while maintaining the two substations balanced in terms of active power.
Related Topics
Concepts
Monte Carlo method
Train
Power Balance
Power (physics)
Maximum power transfer theorem
Electrification
Traction power network
Automotive engineering
Traction (geology)
Electric power system
Traction substation
AC power
Power density
Computer science
Transfer (computing)
Engineering
Control theory (sociology)
Electrical engineering
Voltage
Electricity
Mechanical engineering
Mathematics
Physics
Geography
Statistics
Transformer
Control (management)
Parallel computing
Artificial intelligence
Quantum mechanics
Cartography
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s40534-021-00261-y
- https://link.springer.com/content/pdf/10.1007/s40534-021-00261-y.pdf
- OA Status
- diamond
- Cited By
- 5
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4206771659
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4206771659Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/s40534-021-00261-yDigital Object Identifier
- Title
-
Traction power substation balance and losses estimation in AC railways using a power transfer device through Monte Carlo analysisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-17Full publication date if available
- Authors
-
Vítor Morais, António MartinsList of authors in order
- Landing page
-
https://doi.org/10.1007/s40534-021-00261-yPublisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007/s40534-021-00261-y.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://link.springer.com/content/pdf/10.1007/s40534-021-00261-y.pdfDirect OA link when available
- Concepts
-
Monte Carlo method, Train, Power Balance, Power (physics), Maximum power transfer theorem, Electrification, Traction power network, Automotive engineering, Traction (geology), Electric power system, Traction substation, AC power, Power density, Computer science, Transfer (computing), Engineering, Control theory (sociology), Electrical engineering, Voltage, Electricity, Mechanical engineering, Mathematics, Physics, Geography, Statistics, Transformer, Control (management), Parallel computing, Artificial intelligence, Quantum mechanics, CartographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2023: 3, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
44Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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