An improved multi-step prediction control algorithm for urban rail hybrid energy storage system

YANG Fengping; ZHOU Mingzhi; CHENG Quan; ZHANG Yin

doi:10.13890/j.issn.1000-128X.2022.03.010

您当前的位置：

首页 >

文章列表页 >

An improved multi-step prediction control algorithm for urban rail hybrid energy storage system

Low Carbon Urban Rail Transport | 更新时间：2024-08-02

- An improved multi-step prediction control algorithm for urban rail hybrid energy storage system
- Electric drive for locomotives Issue 3, Pages: 76-81(2022)
- 作者机构：
  
  华东交通大学电气与自动化工程学院，江西南昌 330013
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128X.2022.03.010
  CLC： U231⁺.8
- Published：10 May 2022，
  
  Received：29 March 2022，
  
  Revised：01 May 2022，
- 稿件说明：
扫描看全文
YANG Fengping, ZHOU Mingzhi, CHENG Quan, et al. An improved multi-step prediction control algorithm for urban rail hybrid energy storage system. [J]. Electric drive for locomotives (3):76-81(2022)
DOI：

YANG Fengping, ZHOU Mingzhi, CHENG Quan, et al. An improved multi-step prediction control algorithm for urban rail hybrid energy storage system. [J]. Electric drive for locomotives (3):76-81(2022) DOI： 10.13890/j.issn.1000-128X.2022.03.010.

摘要

对于传统PI控制的城轨混合储能系统，存在着参数调节烦琐，列车启停工况响应滞后等问题，提出一种改进多步预测的城轨混合储能系统控制算法，采用多步预测电流控制环代替传统PI电流内环，规避单步预测存在预测误差缺陷的同时提升系统动态响应速度。针对预测电流算法中等效占空比非“0”即“1”导致电流纹波较大的问题，对最优开关时刻的电流波动范围进行实时计算，在线更新开关作用时间。在MATLAB/Simulink平台上搭建城轨列车混合储能系统模型，仿真结果表明，在列车加速与制动运行工况下网压恢复时间各自减小了0.543 s和0.644 s，超调量降低了5.98%和4.83%，并且电流纹波变化率明显改善，验证了所提策略的正确性和优越性。

Abstract

For the traditional PI controlled urban rail hybrid energy storage system

there are problems such as cumbersome parameter adjustment and lag in response to train start and stop conditions. An improved multi-step prediction control algorithm for urban rail hybrid energy storage system was proposed in this paper. The multi-step predictive current control loop was used to replace the traditional PI current inner loop to avoid the prediction error defect of single-step prediction and improve the dynamic response speed of the system. For the problem of large current ripple caused by non-zero equivalent duty cycle in the predicted current algorithm

the current fluctuation range at the optimal switching time was calculated in real time

and the switching action time was updated online. Finally

a hybrid energy storage system model for urban rail trains was built on the MATLAB/Simulink platform. The simulation results show that under the conditions of train acceleration and braking

the network voltage recovery time is reduced by 0.543 s and 0.644 s respectively

the overshoot is reduced by 5.98% and 4.83%

and the change rate of current ripple is significantly improved

which verifies the correctness and superiority of the strategy proposed in this paper.

关键词

城轨混合储能系统预测电流控制电流纹波动态响应速度城市轨道交通地铁列车

Keywords

urban rail hybrid energy storage systempredictive current controlcurrent rippledynamic response speedurban rail transitsubaway train

references

李冰, 李岚, 柴伦, 等. 一种基于限值管理的混合储能系统控制策略[J]. 电气传动, 2019, 49(11): 92-96.

LI Bing, LI Lan, CHAI Lun, et al. A control strategy of hybrid energy storage system based on threshold management[J]. Electric Drive, 2019, 49(11): 92-96.

林仕立, 宋文吉, 冯自平, 等. 地铁混合储能系统及其功率动态分配控制方法[J]. 仪器仪表学报, 2016, 37(12): 2829-2835.

LIN Shili, SONG Wenji, FENG Ziping, et al. Hybrid energy storage system of metro and its control method on power dynamic allocation[J]. Chinese Journal of Scientific Instrument, 2016, 37(12): 2829-2835.

陈亚爱, 林演康, 王赛, 等. 基于滤波分配法的混合储能优化控制策略[J]. 电工技术学报, 2020, 35(19): 4009-4018.

CHEN Yaai, LIN Yankang, WANG Sai, et al. Optimal control strategy of hybrid energy storage based on filter allocation method[J]. Transactions of China Electrotechnical Society, 2020, 35(19): 4009-4018.

杨惠, 骆姗, 孙向东, 等. 光伏储能双向DC-DC变换器的自抗扰控制方法研究[J]. 太阳能学报, 2018, 39(5): 1342-1350.

YANG Hui, LUO Shan, SUN Xiangdong, et al. Research on adrc method for bidirectional DC-DC converter of solar energy storage system[J]. Acta Energiae Solaris Sinica, 2018, 39(5): 1342-1350.

席裕庚, 李德伟, 林姝. 模型预测控制——现状与挑战[J]. 自动化学报, 2013, 39(3): 222-236.

XI Yugeng, LI Dewei, LIN Shu. Model predictive control-status and challenges[J]. Acta Automatica Sinica, 2013, 39(3): 222-236.

梅杨, 李晓晴, 齐园园. 光储系统中双向DC/DC变换器预测电流控制[J]. 电力电子技术, 2016, 50(5): 28-30.

MEI Yang, LI Xiaoqing, QI Yuanyuan. Current predictive control for bi-directional DC/DC converter of photovoltaic energy storage system[J]. Power Electronics, 2016, 50(5): 28-30.

梅杨, 陈丽莎, 黄伟超, 等. 级联式双向DC-DC变换器的优化控制方法[J]. 电工技术学报, 2017, 32(19): 153-159.

MEI Yang, CHEN Lisha, HUANG Weichao, et al. Optimized control method of cascaded bi-directional DC-DC converters[J]. Transactions of China Electrotechnical Society, 2017, 32(19): 153-159.

沈坤, 章兢, 王坚. 一种多步预测的变流器有限控制集模型预测控制算法[J]. 中国电机工程学报, 2012, 32(33): 37-44.

SHEN Kun, ZHANG Jing, WANG Jian. A model predictive control scheme of multi-step prediction finite control set for converters[J]. Proceedings of the CSEE, 2012, 32(33): 37-44.

赵峰, 王卓, 高锋阳. 基于两步预测的光伏并网SL-qZSI的模型预测控制[J]. 太阳能学报, 2021, 42(7): 118-124.

ZHAO Feng, WANG Zhuo, GAO Fengyang. Model predictive control of photovoltaic grid-connected SL-qZSI based on two-step prediction[J]. Acta Energiae Solaris Sinica, 2021, 42(7): 118-124.

廖力, 泮冰妮, 吴铁洲, 等. 基于改进MPC的混合储能系统控制策略[J]. 电源技术, 2021, 45(4): 523-527.

LIAO Li, PAN Bingni, WU Tiezhou, et al. Control strategy of hybrid energy storage system based on improved MPC[J]. Chinese Journal of Power Sources, 2021, 45(4): 523-527.

杨阳, 张士文, 韩正之. 地铁双边供电系统建模与仿真[J]. 城市轨道交通研究, 2013, 16(8): 28-31.

YANG Yang, ZHANG Shiwen, HAN Zhengzhi. Modeling and simulation of metro bilateral power supply system[J]. Urban Mass Transit, 2013, 16(8): 28-31.

何纯. 基于有限控制集的永磁同步电机模型预测电流控制[D]. 哈尔滨: 哈尔滨工业大学, 2019.

HE Chun. Finite-control-set model predictive current control for permanent magnet synchronous motor[D]. Harbin: Harbin Institute of Technology, 2019.

Views

下载量

CSCD

CNKI被引量

Alert me when the article has been cited

提交

Tools

Publicity Resources

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

Research on optimal control strategy for electric braking performance of urban rail vehicles

Analysis on dynamics characteristics of a newly mid-low speed maglev train model

Analysis and review of safety control system architectures for urban rail transit vehicles

Study on abnormal abrasion of metro pantograph

Related Author

WANG Wenchao

WANG Junping

DING Jianming

ZHU Qianyi

CHEN Xinan

LIU Donghui

ZHAO Leiting

WANG Yongxiang

Related Institution

CRRC Zhuzhou Institute Co., Ltd.

State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University

Beijing Zongheng Electro-Mechanical Technology Co., Ltd.

CRRC Changchun Railway Vehicles Co., Ltd.

School of Mechanical Engineering, Southwest Jiaotong University

⁰