A traction load modeling method of metro trains based on the regenerative braking energy effective utilization and its application

SHI Dan; GAO Dongsheng; YANG Rui

doi:10.13890/j.issn.1000-128X.2022.05.021

您当前的位置：

首页 >

文章列表页 >

A traction load modeling method of metro trains based on the regenerative braking energy effective utilization and its application

Railway Electrification | 更新时间：2024-08-02

- A traction load modeling method of metro trains based on the regenerative braking energy effective utilization and its application
- Electric drive for locomotives Issue 5, Pages: 144-150(2022)
- 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：
- 基金信息：
- DOI：10.13890/j.issn.1000-128X.2022.05.021
  CLC： U231
- Published：10 September 2022，
  
  Received：19 July 2021，
  
  Revised：21 August 2022，
- 稿件说明：
扫描看全文
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 (5):144-150(2022)
DOI：

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 (5):144-150(2022) 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

references

杨中平, 林飞. 储能技术在地面式再生制动能量吸收和利用装置中的应用[J]. 都市快轨交通, 2021, 34(6): 1-8.

YANG Zhongping, LIN Fei. Application of energy storage technology in stationary regenerative braking energy absorption and utilization devices[J]. Urban Rapid Rail Transit, 2021, 34(6): 1-8.

林仕立, 宋文吉, 陈明彪, 等. 地铁制动能量回收的混合储能系统及其参数设计[J]. 城市轨道交通研究, 2020, 23(10): 75-79.

LIN Shili, SONG Wenji, CHEN Mingbiao, et al. Hybrid energy storage system and the parameter design for metro braking energy recovery[J]. Urban Mass Transit, 2020, 23(10): 75-79.

张俊婷. 基于MATLAB/Simulink的城市轨道交通交直流供电系统建模仿真[D]. 北京: 北京交通大学, 2017.

ZHANG Junting. Modeling and simulation of AC/DC power supply system for urban rail transit based on MATLAB/Simulink[D]. Beijing: Beijing Jiaotong University, 2017.

吴命利. 电气化铁道牵引网的统一链式电路模型[J]. 中国电机工程学报, 2010, 30(28): 52-58.

WU Mingli. Uniform chain circuit model for traction networks of electric railways[J]. Proceedings of the CSEE, 2010, 30(28): 52-58.

万庆祝, 吴命利, 陈建业, 等. 基于牵引计算的牵引变电所馈线电流仿真计算[J]. 电工技术学报, 2007, 22(6): 108-113.

WAN Qingzhu, WU Mingli, CHEN Jianye, et al. Simulating calculation of traction substation's feeder current based on traction calculation[J]. Transactions of China Electrotechnical Society, 2007, 22(6): 108-113.

杨少兵, 吴命利. 电气化铁道牵引变电所负荷概率模型[J]. 电力系统自动化, 2010, 34(24): 40-45.

YANG Shaobing, WU Mingli. A load probability model for electrified railway traction substations[J]. Automation of Electric Power Systems, 2010, 34(24): 40-45.

张久军, 李琦, 杨瑞梅, 等. 检测对数正态分布位置参数和尺度参数的控制图[J]. 数理统计与管理, 2018, 37(5): 864-870.

ZHANG Jiujun, LI Qi, YANG Ruimei, et al. Control charts for the lognormal location and scale parameter[J]. Journal of Applied Statistics and Management, 2018, 37(5): 864-870.

洪祎祺, 魏丹萍, 袁伟刚, 等. 基于对数正态分布的电缆状态评估方法研究[J]. 电力系统保护与控制, 2018, 46(2): 79-84.

HONG Yiqi, WEI Danping, YUAN Weigang, et al. Research on cable state evaluation method based on logarithmic normal distribution[J]. Power System Protection and Control, 2018, 46(2): 79-84.

李晓磊, 邵之江, 钱积新. 一种基于动物自治体的寻优模式:鱼群算法[J]. 系统工程理论与实践, 2002, 22(11): 32-38.

LI Xiaolei, SHAO Zhijiang, QIAN Jixin. An optimizing method based on autonomous animats: fish-swarm algorithm[J]. Systems Engineering - Theory & Practice, 2002, 22(11): 32-38.

任凯, 蒋玮, 杨波, 等. 用于平抑间歇性负荷的混合储能系统优化分频定容技术[J]. 电力自动化设备, 2021, 41(7): 81-87.

REN Kai, JIANG Wei, YANG Bo, et al. Optimal frequency division and capacity determination technology of hybrid energy storage system for suppressing intermittent load[J]. Electric Power Automation Equipment, 2021, 41(7): 81-87.

刘昊天. 综合能源系统中的混合储能配置优化研究[J]. 节能, 2021, 40(2): 29-33.

LIU Haotian. Research on optimization of hybrid energy storage configuration in integrated energy system[J]. Energy Conservation, 2021, 40(2): 29-33.

冯璐, 李斌, 张新敬, 等. 考虑需求侧响应的风储系统容量配置优化分析[J]. 中国电机工程学报, 2020, 40(增刊1): 222-231.

FENG Lu, LI Bin, ZHANG Xinjing, et al. Capacity allocation optimization of energy storage system considering demand side response[J]. Proceedings of the CSEE, 2020, 40(Suppl 1): 222-231.

LU Xiaoying, WANG Haoyu. Optimal sizing and energy management for cost-effective PEV hybrid energy storage systems[J]. IEEE Transactions on Industrial Informatics, 2020, 16(5): 3407-3416.

ŞENGÖR İ, KILIÇKIRAN H C, AKDEMIR H, et al. Energy management of a smart railway station considering regenerative braking and stochastic behaviour of ESS and PV generation[J]. IEEE Transactions on Sustainable Energy, 2018, 9(3): 1041-1050.

LIU Yuanli, CHEN Minwu, LU Shaofeng, et al. Optimized sizing and scheduling of hybrid energy storage systems for high-speed railway traction substations[J]. Energies, 2018, 11(9): 2199.

Views

下载量

CSCD

CNKI被引量

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on eco-driving strategies for supercapacitor trams

Research on the Construction of Urban Rail Transit Smart Station

Technology and Realization of Sectional-spaced Ground Power Supply for Tram

Structural Optimization and Comparative Analysis of B-type Metro Bogie Frame

Design of ultrasonic detection device for train air leakage based on intelligent inspection robot system platform

Related Author

ZHANG Huazhi

FU Chengcheng

XIAO Zhuang

WANG Qingyuan

FENG Xiaoyun

HE Bin

Maoqing ZHOU

Hongguang GAO

Related Institution

China Railway Fourth Survey and Design Institute Group Co., Ltd.

School of Electrical Engineering, Southwest Jiaotong University

Wuxi Metro Group Co., Ltd.

CRRC Dalian Co., Ltd.

CRRC Dalian Electric Traction R & D Center Co., Ltd.

⁰