High-speed railway has the advantages of fast speed and large transportation volume, but it is also accompanied by huge power consumption. The development of energy storage technology provides new ideas for solving this problem. As the foundation of the energy storage system, capacity configuration is directly related to the economic operation of the energy storage system. This paper establishes a multi-objective optimization model with the lowest equivalent annual value and the highest monthly income for the high-speed railway hybrid energy storage system (HESS). The number of series and parallel connections of each energy storage medium is used as the control variable, and the electrical and non-electric constraints are fully considered in this model. The test case shows that the model can effectively filter out the Pareto solution sets that meet the conditions of traction power supply system, and improve the economics of the energy storage system to provide corresponding references for actual projects.


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    Title :

    Research on Capacity Configuration of Hybrid Energy Storage System for High-Speed Railway


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Jia, Limin (editor) / Qin, Yong (editor) / Liang, Jianying (editor) / Liu, Zhigang (editor) / Diao, Lijun (editor) / An, Min (editor) / Luo, Jiaming (author) / Wei, Xiaoguang (author) / Gao, Shibin (author) / Shen, Rui (author)

    Conference:

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



    Publication date :

    2022-02-22


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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