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基于地铁列车再生制动能量有效利用的牵引负荷建模方法及应用
A traction load modeling method of metro trains based on the regenerative braking energy effective utilization and its application
- 机车电传动 2022年第5期 页码：144-150
- 作者机构：
北京城建设计发展集团股份有限公司，北京 100032
- 作者简介：
史 丹（1990—），女，硕士，工程师，主要从事城市轨道交通供配电设计；E-mail: qianduixue90@126.com
- 基金信息：西安市轨道交通集团有限公司重点项目(D10-YJ-102022008)
DOI：10.13890/j.issn.1000-128X.2022.05.021
中图分类号： U231纸质出版日期：2022-09-10，
收稿日期：2021-07-19，
修回日期：2022-08-21，
- 稿件说明：
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史丹, 高东升, 杨锐. 基于地铁列车再生制动能量有效利用的牵引负荷建模方法及应用[J]. 机车电传动, 2022,(5):144-150.
SHI Dan, GAO Dongsheng, YANG Rui. A traction load modeling method of metro trains based on the regenerative braking energy effective utilization and its application[J]. Electric drive for locomotives, 2022,(5):144-150.
史丹, 高东升, 杨锐. 基于地铁列车再生制动能量有效利用的牵引负荷建模方法及应用[J]. 机车电传动, 2022,(5):144-150. DOI： 10.13890/j.issn.1000-128X.2022.05.021.
SHI Dan, GAO Dongsheng, YANG Rui. A traction load modeling method of metro trains based on the regenerative braking energy effective utilization and its application[J]. Electric drive for locomotives, 2022,(5):144-150. DOI： 10.13890/j.issn.1000-128X.2022.05.021.
摘要
目前，许多地铁线路利用地面储能装置回收列车再生制动能量。储能装置容量的配置与供电区间的牵引负荷再生制动功率特性密切相关。但是，传统牵引变电所二极管整流机组无法返送再生制动能量至电网，难以通过实测获得供电区间内的再生制动功率数据，储能装置容量配置缺少数据支撑。文章提出了一种基于单列车功率概率分布以及供电区间内列车数量概率分布的牵引负荷建模方法，并应用仿真模拟牵引负荷实现储能装置容量的多目标优化配置。该方法首先建立单列车不同工况下的功率概率分布模型，然后采用泊松分布对供电区间内列车数量进行建模，进而得到考虑列车时序关系的牵引负荷模型，最后基于变电所实测数据采用人工鱼群算法对所提牵引负荷模型进行参数辨识。通过详细算例对生成的牵引负荷功率正值部分的概率密度与实测功率概率密度进行比较，结果验证了建模的准确性与有效性。
Abstract
Currently
many metro lines use ground energy storage facilities to gather regenerative braking energy of trains. The capacity configuration of the energy storage facility is closely associated with the characteristics of regenerative braking power of traction load in the power supply section. However
traditional diode rectifier unit of traction substation cannot transmit the regenerative braking energy back to the power grid
thus bringing difficulties in obtaining the data of regenerative braking power of the traction power supply section through field testing
so the configuration of the capacity of energy storage device lacks data support. This paper proposed a traction load modeling method based on the probability distribution of single train power and the probability distribution of the number of trains in the power supply section
and traction load simulation was used to realize the multiple-target optimization configuration of energy storage facility capacity. This method first established the power probability distribution model of a single train under different working conditions
and then used Poisson distribution to model the number of trains in the power supply section
and then obtained the traction load model considering the time sequence of train. At last
artificial fish swarm algorithm was used to identify the parameters of the proposed traction load model. The probability density of the positive part of traction load power generated by detailed example was compared with the measured data
and the results had verified the accuracy and validity of the modeling.
关键词
地铁再生制动概率分布牵引负荷鱼群算法城市轨道交通
Keywords
metroregenerative brakingprobability distributiontraction loadartificial fish swarm algorithmurban rail transit
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