The invention discloses a multi-train speed curve collaborative optimization method considering network loss. The method comprises the following steps: acquiring basic data of trains, lines, timetables, traction networks and the like; calculating an energy-saving speed curve of a preceding train running in each section, introducing a posterior train, dividing the running process of the multi-trainsystem into sub-sections, establishing a traction network equivalent circuit model based on multiple trains, establishing and solving a traction substation total energy consumption optimization model, and outputting a multi-train energy-saving optimization speed curve. According to the invention, the running speed curve of a single train in each section is optimized such that train traction energy consumption is reduced, the utilization rate of regenerative braking energy is increased by cooperatively optimizing speed curves of multiple trains, single-train optimization and multi-train optimization are combined, meanwhile, train traction energy consumption is reduced, the utilization rate of regenerative braking energy is increased, and finally the total energy consumption of a traction substation is reduced.

    本发明公开了一种考虑网损的多列车速度曲线协同优化方法,该方法包括获取列车、线路、时刻表及牵引网等基本数据,计算前行列车在各个区间运行的节能速度曲线,引入后发列车,将多车系统运行过程划分子区间,建立基于多列车的牵引网等效电路模型,建立牵引变电站总能耗优化模型并求解,输出多列车节能优化速度曲线。本发明通过优化单列车在各区间运行的速度曲线,降低了列车牵引能耗,通过协同优化多列车的速度曲线,提升了再生制动能量的利用率,实现将单车优化和多车优化相结合,同时降低列车牵引能耗并提高再生制动能量利用率,最终降低牵引变电站总能耗。


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    Title :

    Multi-train speed curve collaborative optimization method considering network loss


    Additional title:

    一种考虑网损的多列车速度曲线协同优化方法


    Contributors:
    SUN PENGFEI (author) / CHEN MO (author) / WANG QINGYUAN (author) / FENG XIAOYUN (author) / SONG WENSHENG (author) / WANG SONG (author)

    Publication date :

    2020-05-08


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC



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