牵引供电网-多台机车耦合系统的低频振荡分析与抑制

doi:10.19595/j.cnki.1000-6753.tces.180979

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (83770 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Recently, the low-frequency oscillation (LFO) phenomenon of China railway electric multiple AC-DC-AC locomotives-traction network coupling system has occurred frequently, which seriously affects the safety and stabilization of railway system. Firstly, in order to describe the LFO mechanism, the stability of multiple locomotives-traction network coupling system is analyzed theoretically in this paper, by utilizing the impedance ratio criterion and bode diagram. Sequentially, the main influential factors of the coupling system are presented. Then, the multiple locomotives-traction network coupling system is modeling and the joint simulation is carried out on Matlab/Simulink platform. The simulation results reappear the LFO phenomenon, which verifies correctness of the theoretical analysis. Finally, according to the stability analysis results of impedance ratio criterion and Bode diagram, a LFO suppression solution with control parameters modification of the locomotive rectifier is shown. The adopted scheme is verified in computer simulations and hardware-in-the-loop (HIL) experimental tests, the simulation and experimental results verify the correctness and effectiveness of the adopted LFO suppression scheme.

Key words： Multiple locomotives-traction network coupling system single-phase grid-tie converters low-frequency oscillation impedance ratio criterion hardware-in-loop real-time experiment

Received: 01 July 2018 Published: 29 July 2019

PACS:

TM46

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Deng Rui
	Liu Bi
	Song Wensheng

Cite this article:

Deng Rui,Liu Bi,Song Wensheng. Low-Frequency-Oscillation Analysis and Suppression of the Coupling System between Traction Network and Multi-Locomotives[J]. Transactions of China Electrotechnical Society, 2019, 34(zk1): 327-335.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.180979 OR https://dgjsxb.ces-transaction.com/EN/Y2019/V34/Izk1/327

[1] 赵亚杰, 夏欢, 王俊兴, 等. 基于动态阈值调节的城轨交通超级电容储能系统控制策略研究[J]. 电工技术学报, 2015, 30(14): 427-433.
Zhao Yajie, Xia Huan, Wang Junxing, et al.Control strategy of ultracapacitor storage system in urban mass transit system based on dynamic voltage threshold[J]. Transactions of China Electrotechnical Society, 2015, 30(14): 427-433.
[2] 夏欢, 杨中平, 杨志鸿, 等. 基于列车运行状态的城轨超级电容储能装置控制策略[J]. 电工技术学报, 2017, 32(21): 16-23.
Xia Huan, Yang Zhongping, Yang Zhihong, et al.Control strategy of supercapacitor energy storage system for urban rail transit based on operating status of trains[J]. Transactions of China Electrotechnical Society, 2017, 32(21): 16-23.
[3] 顾帅, 韦莉, 张逸成, 等. 超级电容器老化特征与寿命测试研究展望[J]. 中国电机工程学报, 2013, 33(21): 145-153.
Gu Shuai, Wei Li, Zhang Yicheng, et al.Prospects of ageing characteristic and life test research on supercapacitors[J]. Proceedings of the CSEE, 2013, 33(21): 145-153.
[4] 石建, 周腊吾, 葛召炎, 等. 大风电机组变桨用超级电容模组健康状态在线监测方法研究[J]. 电力系统保护与控制, 2016, 44(12): 108-113.
Shi Jian, Zhou Lawu, Ge Zhaoyan, et al.Online monitoring method of health state of ultracapacitor for wind turbine pitching[J]. Power System Pro- tection and Control, 2016, 44(12): 108-113.
[5] 赵洋, 孙家南, 姜鸣. 基于改进最小二乘法的超级电容器特征参数辨识[J]. 高压电器, 2016(5): 199-204.
Zhao Yang, Sun Jianan, Jiang Ming.Characteristic parameters identification of supercapacitor based on improved least square method[J]. High Voltage Apparatus, 2016(5): 199-204.
[6] 赵洋, 姜鸣, 刘学良. 超级电容器等效电路模型参数辨识算法比较研究[J]. 电气应用, 2015, 34(15): 80-84.
Zhao Yang, Jiang Ming, Liu Xueliang.Comparative study on parameter identification algorithms for supercapacitor equivalent circuit model[J]. Electro- technical Application, 2015, 34(15): 80-84.
[7] 赵洋, 梁海泉, 张逸成. 电化学超级电容器建模研究现状与展望[J]. 电工技术学报, 2012, 27(3): 188-195.
Zhao Yang, Liang Haiquan, Zhang Yicheng.Review and expectation of modeling research on electro- chemical supercapacitor[J]. Transactions of China Electrotechnical Society, 2012, 27(3): 188-195.
[8] Eddahech A, Ayadi M, Briat O, et al.Online parameter identification for real-time supercapacitor performance estimation in automotive applications[J]. International Journal of Electrical Power & Energy Systems, 2013, 51(10): 162-167.
[9] 郭瑞, 刘敬力, 李宝华. RLS算法在碳基超级电容器参数辨识中的应用[J]. 辽宁工程技术大学学报, 2014(12): 1660-1664.
Guo Rui, Liu Jingli, Li Baohua.Application of RLS algorithm to parameter identification of Carbon- supercapacitor[J]. Journal of Liaoning Technical University (Natural Science), 2014(12): 1660-1664.
[10] 梁海泉, 谢维达, 孙家南, 等. 超级电容器时变等效电路模型参数辨识与仿真[J]. 同济大学学报(自然科学版), 2012, 40(6): 949-954.
Liang Haiquan, Xie Weida, Sun Jianan, et al.Parameter identification and simulation of time varying equivalent circuit model of supercapacitor[J]. Journal of Tongji University (Natural Science), 2012, 40(6): 949-954.
[11] 陈涵, 刘会金, 李大路, 等. 可变遗忘因子递推最小二乘法对时变参数测量[J]. 高电压技术, 2008, 34(7): 1474-1477.
Chen Han, Liu Huijin, Li Dalu, et al.Time-varying parameters measurement by least square method with variable forgetting factors[J]. High Voltage Engin- eering, 2008, 34(7): 1474-1477.
[12] 韩志坚, 吴光敏, 张文斌, 等. 超级电容模型参数辨识方法的研究[J]. 电器与能效管理技术, 2015(18): 50-54.
Han Zhijian, Wu Guangmin, Zhang Wenbin, et al.Study on parameters identification method for super capacitor model[J]. Electrical & Energy Management Technology, 2015(18): 50-54.
[13] Mejdoubi A E, Chaoui H, Gualous H, et al.Online parameter identification for supercapacitor state- of-health diagnosis for vehicular applications[J]. IEEE Transactions on Power Electronics, 2017, 32(12): 9355-9363.
[14] Soualhi A, Sari A, Razik H, et al.Supercapacitors ageing prediction by neural networks[C]//IECON 2013-Industrial Electronics Society, Vienna, Austrlia, 2014: 6812-6818.
[15] John M M.超级电容器的应用[M]. 韩晓娟, 李建林, 田春光, 译. 北京: 机械工业出版社, 2014.
[16] Gualous H, Louahlia H, Gallay R.Supercapacitor characterization and thermal modelling with reversible and irreversible heat effect[J]. IEEE Transactions on Power Electronics, 2011, 26(11): 3402-3409.
[17] Williard N, Baek D, Park J W, et al.A life model for supercapacitors[J]. IEEE Transactions on Device & Materials Reliability, 2015, 15(4): 519-528.
[18] Uno M, Tanaka K.Accelerated charge-discharge cycling test and cycle life prediction model for supercapacitors in alternative battery applications[J]. IEEE Transactions on Industrial Electronics, 2012, 59(12): 4704-4712.
[19] Bohlen O, Kowal J, Sauer D U.Ageing behaviour of electrochemical double layer capacitors: part I. experimental study and ageing model[J]. Journal of Power Sources, 2007, 172(1): 468-475.
[20] Bohlen O, Kowal J, Sauer D U.Ageing behaviour of electrochemical double layer capacitors: part II. lifetime simulation model for dynamic appli- cations[J]. Journal of Power Sources, 2007, 173(1): 626-632.
[21] Kreczanik P, Venet P, Hijazi A, et al.Study of supercapacitor aging and lifetime estimation according to voltage, temperature, and RMS current[J]. IEEE Transactions on Industrial Electronics, 2013, 61(9): 4895-4902.
[22] 蔡国伟, 陈冲, 孔令国, 等. 风电/制氢/燃料电池/超级电容器混合系统控制策略[J]. 电工技术学报, 2017, 32(17): 84-94.
Cai Guowei, Chen Chong, Kong Lingguo, et al.Control of hybrid system of wind/hydrogen/fuel cell/supercapacitor[J]. Transactions of China Electro- technical Society, 2017, 32(17): 84-94.
[23] 毕恺韬, 安群涛, 段建东, 等. 基于级联多电平直流变换器的超级电容储能系统能量自均衡控制策略[J]. 电工技术学报, 2018, 33(8): 1919-1928.
Bi Kaitao, An Quntao, Duan Jiandong, et al.Self- balancing control strategy for super capacitor energy storage system based on cascaded multilevel DC-DC converter[J]. Transactions of China Electrotechnical Society, 2018, 33(8): 1919-1928.
[24] 王野, 姜万东, 叶佳虹, 等. 一种新型超级电容模组充电电源设计[J]. 电气技术, 2017, 18(5): 109-112.
Wang Ye, Jiang Wandong, Ye Jiahong, et al.Design a new super capacitor module for charging power[J]. Electrical Engineering, 2017, 18(5): 109-112.
[25] Mesbahi T, Rizoug N, Bartholomeus P, et al.Improved model of battery/supercapacitor hybrid energy storage system based on thermo-electrical and aging behaviors[C]//IET International Conference on Power Electronics, Machines and Drives, Manchester, UK, 2014: 1-8.
[26] 李轩, 李永丽, 常晓勇. 基于精确线性化理论的超级电容储能系统的非线性控制算法[J]. 电工技术学报, 2016, 31(21): 12-20.
Li Xuan, Li Yongli, Chang Xiaoyong.Nonlinear control algorithm for super capacitor energy storage system based on exact linearization theory[J]. Transa- ctions of China Electrotechnical Society, 2016, 31(21): 12-20.