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The multi-criteria optimization method for implementation of a regenerative inverter in a 3 kV DC traction system.

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Title: The multi-criteria optimization method for implementation of a regenerative inverter in a 3 kV DC traction system.
Authors: Jefimowski, Włodzimierz1 wlodzimierz.jefimowski@ien.pw.edu.pl, Szeląg, Adam1 adam.szelag@ien.pw.edu.pl
Source: Electric Power Systems Research. Aug2018, Vol. 161, p61-73. 13p.
Subjects: Electric inverters, Direct currents, Multidisciplinary design optimization, Traction (Engineering), Electric substations
Abstract: This article presents a method supporting the decision-making process for implementation of a regenerative inverter in a 3 kV DC traction system. The method in question consists of two steps. The first one is based on the solution of power flow (PF) problem in the novel model of DC power supply system with the limited overhead contact system (OCS) receptivity. The second step consists in execution of an optimization-oriented procedure. The optimization criteria are defined as follows: net energy drawn from a traction substation, cost of inverter implementation and energy loss in a supplying medium voltage grid. The optimized variables are rated power of the inverter and its location as well as other parameters of the inverter, which may be selected optionally. The optimization procedure is based on a genetic algorithm (GA), the results are presented as Pareto-fronts. Among the Pareto-optimized solutions, the single solution is chosen based on the criteria of a payback period. [ABSTRACT FROM AUTHOR]
Copyright of Electric Power Systems Research is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: The multi-criteria optimization method for implementation of a regenerative inverter in a 3 kV DC traction system.
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  Data: <searchLink fieldCode="JN" term="%22Electric+Power+Systems+Research%22">Electric Power Systems Research</searchLink>. Aug2018, Vol. 161, p61-73. 13p.
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  Data: This article presents a method supporting the decision-making process for implementation of a regenerative inverter in a 3 kV DC traction system. The method in question consists of two steps. The first one is based on the solution of power flow (PF) problem in the novel model of DC power supply system with the limited overhead contact system (OCS) receptivity. The second step consists in execution of an optimization-oriented procedure. The optimization criteria are defined as follows: net energy drawn from a traction substation, cost of inverter implementation and energy loss in a supplying medium voltage grid. The optimized variables are rated power of the inverter and its location as well as other parameters of the inverter, which may be selected optionally. The optimization procedure is based on a genetic algorithm (GA), the results are presented as Pareto-fronts. Among the Pareto-optimized solutions, the single solution is chosen based on the criteria of a payback period. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Electric Power Systems Research is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.epsr.2018.03.023
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 13
        StartPage: 61
    Subjects:
      – SubjectFull: Electric inverters
        Type: general
      – SubjectFull: Direct currents
        Type: general
      – SubjectFull: Multidisciplinary design optimization
        Type: general
      – SubjectFull: Traction (Engineering)
        Type: general
      – SubjectFull: Electric substations
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              Text: Aug2018
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