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Integration of Renewable Energy Sources into the DC Traction Power Supply System.

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Title: Integration of Renewable Energy Sources into the DC Traction Power Supply System.
Authors: Iliev, Iliya1 (AUTHOR), Kryukov, Andrey2 (AUTHOR), Suslov, Konstantin3,4 (AUTHOR), Cherepanov, Aleksandr2,4 (AUTHOR), Kryukov, Aleksandr5 (AUTHOR), Beloev, Ivan6 (AUTHOR), Valeeva, Yuliya7 (AUTHOR), Beloev, Hristo8 (AUTHOR)
Source: Energies (19961073). Apr2026, Vol. 19 Issue 7, p1590. 27p.
Subject Terms: *Wind power, *Digital computer simulation, *Energy consumption, *Clean energy, *Algorithms, *Railroads
Abstract: The growing importance of integrating renewable energy sources (RESs) into mainline railway traction networks stems from the sector's substantial electricity demand, which is traditionally met by carbon-intensive thermal generation. This paper addresses the potential of wind power to enhance energy efficiency and reduce emissions in rail transport. It details the development of digital models for simulating DC traction power systems (TPSs) coupled with RESs, specifically wind turbines. Given the complexity of TPSs, effective integration requires digital modeling that accounts for their unique properties. The proposed methodology, based on phase coordinate algorithms, offers a universal and comprehensive framework. It enables the identification of various operational modes (normal, emergency, and special) for diverse network components, including traction networks, transmission lines, and transformers. These models were used to simulate real-world train operations, generating data on electrical parameter dynamics and transformer thermal conditions. The results confirm that wind integration can improve energy efficiency, validating the methodology's practical applicability for RES projects in DC traction networks, including advanced high-voltage systems. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 192958994
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Integration of Renewable Energy Sources into the DC Traction Power Supply System.
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  Data: <searchLink fieldCode="AR" term="%22Iliev%2C+Iliya%22">Iliev, Iliya</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kryukov%2C+Andrey%22">Kryukov, Andrey</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Suslov%2C+Konstantin%22">Suslov, Konstantin</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cherepanov%2C+Aleksandr%22">Cherepanov, Aleksandr</searchLink><relatesTo>2,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kryukov%2C+Aleksandr%22">Kryukov, Aleksandr</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Beloev%2C+Ivan%22">Beloev, Ivan</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Valeeva%2C+Yuliya%22">Valeeva, Yuliya</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Beloev%2C+Hristo%22">Beloev, Hristo</searchLink><relatesTo>8</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Apr2026, Vol. 19 Issue 7, p1590. 27p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Wind+power%22">Wind power</searchLink><br />*<searchLink fieldCode="DE" term="%22Digital+computer+simulation%22">Digital computer simulation</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br />*<searchLink fieldCode="DE" term="%22Clean+energy%22">Clean energy</searchLink><br />*<searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br />*<searchLink fieldCode="DE" term="%22Railroads%22">Railroads</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The growing importance of integrating renewable energy sources (RESs) into mainline railway traction networks stems from the sector's substantial electricity demand, which is traditionally met by carbon-intensive thermal generation. This paper addresses the potential of wind power to enhance energy efficiency and reduce emissions in rail transport. It details the development of digital models for simulating DC traction power systems (TPSs) coupled with RESs, specifically wind turbines. Given the complexity of TPSs, effective integration requires digital modeling that accounts for their unique properties. The proposed methodology, based on phase coordinate algorithms, offers a universal and comprehensive framework. It enables the identification of various operational modes (normal, emergency, and special) for diverse network components, including traction networks, transmission lines, and transformers. These models were used to simulate real-world train operations, generating data on electrical parameter dynamics and transformer thermal conditions. The results confirm that wind integration can improve energy efficiency, validating the methodology's practical applicability for RES projects in DC traction networks, including advanced high-voltage systems. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en19071590
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 27
        StartPage: 1590
    Subjects:
      – SubjectFull: Wind power
        Type: general
      – SubjectFull: Digital computer simulation
        Type: general
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Clean energy
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Railroads
        Type: general
    Titles:
      – TitleFull: Integration of Renewable Energy Sources into the DC Traction Power Supply System.
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Iliev, Iliya
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          Name:
            NameFull: Kryukov, Andrey
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            NameFull: Suslov, Konstantin
      – PersonEntity:
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            NameFull: Cherepanov, Aleksandr
      – PersonEntity:
          Name:
            NameFull: Kryukov, Aleksandr
      – PersonEntity:
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            NameFull: Beloev, Ivan
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            NameFull: Valeeva, Yuliya
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            NameFull: Beloev, Hristo
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            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 19961073
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              Value: 19
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: Energies (19961073)
              Type: main
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