The actual operation of urban rail traction power supply system involves the energy change process under various time scales, such as low frequency, high frequency and instantaneous. However, the traditional modeling method adopts decentralized modeling and simulation at different time and structure scales, which splits the potential physical relations between different scale models, and lacks the overall description of the multi-scale physical change process. The accuracy and comprehensiveness of the results need to be improved. Therefore, a multi-scale digital twin modeling method for urban rail traction power supply system was proposed in this paper, and a hierarchical, componentized, and cross type multi-scale system modeling framework was designed. In order to solve the problem that the different time scale simulation is difficult to integrate, a multi-scale simulation method based on the model adaptive and parallel cooperation strategy was proposed, which can realize the organic and efficient integration between the multi-scale models. The simulation results show that the multi-scale digital twin modeling method can be used to observe the transient and steady state of the system in different time scales at the levels of devices, equipment and stations.


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    Titel :

    Multi-scale Modeling and Simulation Method of Urban Rail Traction Power Supply System for Digital Twin


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Jia, Limin (Herausgeber:in) / Qin, Yong (Herausgeber:in) / Liang, Jianying (Herausgeber:in) / Liu, Zhigang (Herausgeber:in) / Diao, Lijun (Herausgeber:in) / An, Min (Herausgeber:in) / Chen, Lin (Autor:in) / Yu, Yi (Autor:in) / Gong, Zhaofeng (Autor:in) / Tang, Geng (Autor:in)

    Kongress:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2021 October 21, 2021 - October 23, 2021



    Erscheinungsdatum :

    2022-02-22


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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