The increasing electrification of urban public transports requires improving the design of the electrical infrastructures to take into account all the technical and financial challenges involved in the creation of a new line. This paper presents a new optimization tool dedicated to the sizing of tramway electrical infrastructures: power substations, overhead transmission lines, feeders and equipotential bonding. The purpose is to determine the number, positions and technical characteristics of all these components to achieve the best trade-offs between investment costs, energy costs and the quality of the traffic power supply. The sizing problem is formulated as a multi-objective optimization problem and solved using the NSGA-II genetic algorithm. The proposed method is applied to a simple test case and gives good results.


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    Titel :

    Optimal Sizing of Tramway Electrical Infrastructures Using Genetic Algorithms


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Pierfederici, Serge (Herausgeber:in) / Martin, Jean-Philippe (Herausgeber:in) / Boukir, Anass (Autor:in) / Reinbold, Vincent (Autor:in) / Ossart, Florence (Autor:in) / Bigeon, Jean (Autor:in) / Levy, Paul-Louis (Autor:in)

    Kongress:

    International Conference of the IMACS TC1 Committee ; 2021 ; Nancy, France May 17, 2021 - May 20, 2021


    Erschienen in:

    ELECTRIMACS 2022 ; Kapitel : 41 ; 543-555


    Erscheinungsdatum :

    14.06.2023


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Genetic Algorithm-Based Optimization for Sizing Tramway Electrical Infrastructures. Application to a Real Study Case

    Boukir, Anass / Reinbold, Vincent / Ossart, Florence et al. | Springer Verlag | 2025


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