To ensure the effectiveness of energy-saving strategies, this study proposes an energy-saving optimization model for train schedules that considers the traction power supply system. Initially, a power calculation model based on the traction power supply system is established to obtain the power profiles for the full-line operation of inbound and outbound trains. By modeling the train as an equivalent power source, a DC-side power flow calculation model of the traction power supply network is established. Subsequently, a regenerative braking energy calculation model is developed, by analyzing the effective overlapping time of different train sequences. Based on this, a mixed-integer linear programming model is constructed with the objective of maximizing the total utilization of regenerative braking energy in the timetable. The Gurobi solver is used to optimize the energy-saving timetable, using departure and arrive times as variables. A simulation analysis of a real metro line demonstrates that the total energy consumption of the optimized timetable is reduced by 20.34%, and the utilization of regenerative braking energy is increased to 54.89%.


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    Titel :

    Metro Timetable Optimization Considering Regenerative Braking Energy Utilization


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Jia, Limin (Herausgeber:in) / Yao, Dechen (Herausgeber:in) / Ma, Feng (Herausgeber:in) / Zhang, Liguo (Herausgeber:in) / Chen, Yuejian (Herausgeber:in) / Xue, Qingwan (Herausgeber:in) / Qian, Shuyang (Autor:in) / Li, Hongyi (Autor:in) / Li, Jiyuan (Autor:in) / Zhu, Qinyue (Autor:in)

    Kongress:

    International Conference on Artificial Intelligence and Autonomous Transportation ; 2024 ; Beijing, China December 06, 2024 - December 08, 2024



    Erscheinungsdatum :

    28.03.2025


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch