基于运营数据优化的地铁主变压器容量计算方法

Metro Main Transformer Capacity Calculation Method Based on Operation Data Optimization

  • 摘要:
    目的 大量设计回访与实际运行数据显示,地铁主变压器容量需求与设计容量之间存在着较大偏差,普遍呈现低负荷率运行现象。主变压器容量计算涉及复杂的负荷组成及统计方法,影响因素繁杂且计算难度高,但该值的确定直接关联主变电所的建设投资规模,因此有必要开展针对性研究,以优化计算精度。
    方法 简要阐述了地铁供电系统架构,以及主变压器在供电系统中的主要功能。对影响地铁主变压器容量的因素进行了分析,明确了既有供电系统设计存在的问题。以我国南方某城市地铁线网为研究案例,选取该线网2016-2023年的运营数据,提出了一种基于实际工程与运营数据的能耗指标法,以优化地铁主变压器容量计算,并对该算法的适用性进行了校验。
    结果及结论 基于能耗指标法的主变压器负荷率预测值与实际值较为贴合,主要表现在存在一定的正偏差。从可靠、冗余的角度出发,基于能耗指标法的主变压器容量预测结果可以满足工程设计精度要求。

     

    Abstract:
    Objective A large number of design follow-ups and actual operation data show that there is a significant deviation between the required capacity and the design capacity of metro main transformers, and a low load rate operation phenomenon of the main transformer is usually existing. The capacity calculation of main transformers involves complex load composition and statistical methods, with numerous complex influencing factors and high calculation difficulty. However, the determination of the capacity value directly relates to the construction investment scale of the main substation. Therefore, it is necessary to conduct a targeted research to optimize the calculation accuracy.
    Method The metro power supply system architecture and the crucial functions of the main transformer within the system are briefly elaborated. The influencing factors on the capacity of metro main transformers are analyzed, and the existing problems in the power supply system design are clarified. Taking the metro network in a southern China city as a research case, the network operational data from 2016 to 2023 are selected, and an energy consumption index method based on actual engineering and operation data is proposed to optimize the metro main transformer capacity calculation method. The applicability of this algorithm is also verified.
    Result & Conclusion  The predicted value of the main transformer load rate based on the energy consumption index method is quite consistent with the actual value, primarily manifesting as a certain positive deviation. From the perspective of reliability and redundancy, the main transformer capacity prediction results based on the energy consumption index method can meet the engineering design accuracy requirements.

     

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