Research on the application of flywheel energy storage device in rail transit

doi:10.19799/j.cnki.2095-4239.2024.0214

Abstract

Abstract:

In urban rail transit, trains frequently start and brake, resulting in high braking energy and large voltage fluctuations. Some lines experience serious problems with rail potential. The wheel energy storage device has high power, fast response speed, and long service life. It can collect and use regenerative braking energy on the DC side, with a good energy-saving effect and stable grid voltage fluctuations. Because of the connection of the flywheel energy storage device, it can achieve multi-point reflux and shorten the current reflux path, thus improving the potential of the steel rail. This article explains the capacity configuration method of flywheel energy storage devices for existing and new lines, considering factors such as space limitations in traction stations, the average peak power of energy storage devices, and energy-saving effects, and provides capacity configuration explanations for actual cases. To flexibly respond to the complex working conditions of subway lines with the control strategy of flywheel energy storage devices, five working modes are set up: energy conservation, voltage stabilization, grid voltage support, rail potential management, and emergency power supply. The application case of the flywheel energy storage device in engineering has verified that the flywheel energy storage device has a good voltage stabilization effect, with an average energy saving rate of 11.36%—17.28% and a full power response frequency of 31 times/h. Furthermore, the experimental verification shows that the flywheel energy storage device has an emergency power supply function.

Key words: urban rail transit, flywheel energy storage device, capacity configuration, control strategy

CLC Number:

Yuguang LI, Xiang LIU, Yanzhao LIANG, Shuangzhen LIU. Research on the application of flywheel energy storage device in rail transit[J]. Energy Storage Science and Technology, 2024, 13(8): 2679-2686.

Figures/Tables 10

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Table 1

Fig. 7

Fig. 8

Fig. 9

References 16

1	邓谊柏, 曾升, 李楚杉, 等. 基于超级电容储能的城轨供电系统效能提升[J]. 机电工程技术, 2023, 52(7): 1-5. DOI: 10.3969/j.issn.1009-9492.2023.07.001.
	DENG Y B, ZENG S, LI C S, et al. Efficiency and function improvement of urban rail power supply system based on supercapacitor energy storage[J]. Mechanical & Electrical Engineering Technology, 2023, 52(7): 1-5. DOI: 10.3969/j.issn.1009-9492.2023.07.001.
2	刘宇嫣, 杨中平, 林飞, 等. 城轨地面式混合储能系统自适应能量管理与容量优化配置研究[J]. 电工技术学报, 2021, 36(23): 4874-4884. DOI: 10.19595/j.cnki.1000-6753.tces.210853.
	LIU Y Y, YANG Z P, LIN F, et al. Study on adaptive energy management and optimal capacity configuration of urban rail ground hybrid energy storage system[J]. Transactions of China Electrotechnical Society, 2021, 36(23): 4874-4884. DOI: 10.19595/j.cnki.1000-6753.tces.210853.
3	赵紫薇. 城轨交通车-地储能系统容量优化配置与能量管理策略研究[D]. 北京: 北京交通大学, 2022.
	ZHAO Z W. Research on capacity optimization and energy management strategy of urban rail transit on-board and wayside energy storage system[D]. Beijing: Beijing Jiaotong University, 2022.
4	周铭栀. 城轨交通车载混合储能系统的控制策略及容量配置研究策略研究[D]. 南昌: 华东交通大学, 2023.
	ZHOU M Z. Research on control strategy and capacity allocation of urban rail transit vehicular hybrid energy storage system[D]. Nanchang: East China Jiaotong University, 2023.
5	刘宇嫣, 林飞, 杨中平. 城轨交通地面储能系统的能量管理策略综述[J]. 都市快轨交通, 2021, 34(6): 9-17. DOI: 10.3969/j.issn.1672-6073.2021.06.002.
	LIU Y Y, LIN F, YANG Z P. Overview of energy management strategies for wayside energy storage system of urban rail transit[J]. Urban Rapid Rail Transit, 2021, 34(6): 9-17. DOI: 10.3969/j.issn.1672-6073.2021.06.002.
6	张育维. 电气化铁路混合储能系统容量优化配置与经济性评估方法研究[D]. 成都: 西南交通大学, 2022.
	ZHANG Y W. Research on optimal allocation of capacity and economic evaluation method of hybrid energy storage system for electrified railway[D]. Chengdu: Southwest Jiaotong University, 2022.
7	曲晓琛. 飞轮储能系统在轨道交通中的应用研究[D]. 济南: 山东大学, 2022.
	QU X C. Research on application of flywheel energy storage in rail transit[D]. Ji'nan: Shandong University, 2022.
8	罗嘉明, 韦晓广, 高仕斌, 等. 高速铁路储能系统容量配置与能量管理技术综述与展望[J]. 中国电机工程学报, 2022, 42(19): 7028-7051. DOI: 10.13334/j.0258-8013.pcsee.211526.
	LUO J M, WEI X G, GAO S B, et al. Summary and outlook of capacity configuration and energy management technology of high-speed railway energy storage system[J]. Proceedings of the CSEE, 2022, 42(19): 7028-7051. DOI: 10.13334/j.0258-8013.pcsee.211526.
9	卢景涛. 高速铁路长大坡道再生制动能量储存回收优化配置研究[D]. 兰州: 兰州交通大学, 2023.
	LU J T. Research on optimal configuration of energy storage and recovery for regenerative braking on long steep slope of high-speed railway[D]. Lanzhou: Lanzhou Jiatong University, 2023.
10	刘仕兵, 郭文璟, 刘威, 等. 基于EMD的城市轨道交通混合储能容量配置[J]. 计算机仿真, 2022, 39(4): 97-102. DOI: 10.3969/j.issn.1006-9348.2022.04.019.
	LIU S B, GUO W J, LIU W, et al. Hybrid energy storage capacity allocation of urban rail transit based on EMD[J]. Computer Simulation, 2022, 39(4): 97-102. DOI: 10.3969/j.issn.1006-9348.2022.04.019.
11	禇斐琴, 杨中平, 林飞, 等. 城轨交通牵引供电系统参数与储能系统容量配置综合优化[J]. 电工技术学报, 2019, 34(3): 579-588.
	ZHU Feiqin, YANG Zhongping, LIN Fei, et al. Synthetic optimization of traction power parameters and energy storage systems in urban rail transet[J]. Transactions of China Electrotechnical Society, 2019, 34(3): 579-588.
12	杨晨. 基于牵引供电计算的城市轨道交通线路轨旁储能装置容量配置优化研究[D]. 北京: 北京交通大学.
	YANG C. Traction power calculation-based capacity allocation optimization of trackside energy storage devices along urban rail transit lines[D]. Beijing: Beijing Jiaotong University, 2022.
13	赵荣华, 庞涛, 米佳雨, 等. 替代制动电阻的车载储能系统容量配置研究[J]. 机电工程技术, 2023, 52(9): 269-273. DOI: 10.3969/j.issn.1009-9492.2023.09.057.
	ZHAO R H, PANG T, MI J Y, et al. Study on capacity configuration of on-board energy storage systems substituting braking resistors[J]. Mechanical & Electrical Engineering Technology, 2023, 52(9): 269-273. DOI: 10.3969/j.issn.1009-9492.2023.09.057.
14	王彬. 城轨交通地面式超级电容储能系统容量配置优化方法研究[D]. 北京: 北京交通大学, 2015.
	WANG B. Study for optimal stationary ultra-capacitor energy storage system locating and sizing in urban rail transit[D]. Beijing: Beijing Jiaotong University, 2015.
15	郭强. 城市轨道交通长大区间牵引变电所设置[J]. 智能城市, 2017, 3(2): 110. DOI: 10.19301/j.cnki.zncs.2017.02.094.
	GUO Q. Setting of traction substation in long and long section of urban rail transit[J]. Intelligent City, 2017, 3(2): 110. DOI: 10.19301/j.cnki.zncs.2017.02.094.
16	吴拓剑. 城市轨道地面储能装置建模仿真与优化设计[D]. 成都: 西南交通大学, 2021.
	WU T J. Simulation and optimization design of wayside energy storage system in urban railway[D]. Chengdu: Southwest Jiaotong University, 2021.

车站	发车间隔
车站	2分30秒	4分	6分
A站	368	1848	1648
B站	234	1812	1468

[1]	Chu ZHANG, Dongcai CHEN, Xiangping CHEN, Yongxiang CAI. Economic benefit analysis of optimal allocation of energy storage in multiple application scenarios [J]. Energy Storage Science and Technology, 2024, 13(6): 2078-2088.
[2]	Wenzhe DONG, Sile YANG, Zongyou LIANG, Yinyu CHEN. Research on optimal operation of traction power supply system with integrated hybrid energy storage and RPC [J]. Energy Storage Science and Technology, 2023, 12(4): 1185-1193.
[3]	Zhenbo WEI, Yixin YAO, Wenwen ZHANG, Zihang LUO, Yinjiang LI, Yujie REN. Capacity-based optimal configuration of microgrid hybrid energy-storage system with pumped storage based on CEEMDAN [J]. Energy Storage Science and Technology, 2023, 12(11): 3414-3424.
[4]	Shufeng DONG, Lingchong LIU, Kunjie TANG, Haiqi ZHAO, Chengsi XU, Liheng LIN. The teaching method of energy storage control experiment based on Simulink and low-code controller [J]. Energy Storage Science and Technology, 2022, 11(7): 2386-2397.
[5]	Xiaojie YANG, Haiyun WANG, Zhongchuan JIANG, Zhanghua SONG. Bidirectional power flow strategy design of BLDC motor for flywheel energy storage [J]. Energy Storage Science and Technology, 2022, 11(7): 2233-2240.
[6]	Yulong CHEN, Xin WU, Wei TENG, Yibing LIU. Power coordinated control strategy of flywheel energy storage array for wind power smoothing [J]. Energy Storage Science and Technology, 2022, 11(2): 600-608.
[7]	Shitan ZHANG, Shuai CHU, Weichun GE, Yinxuan LI, Chuang LIU. Evaluation method for the coordinated regulation of large-scale abandoned wind power and heat storage [J]. Energy Storage Science and Technology, 2022, 11(1): 283-290.
[8]	Yanping WEI, Jun WANG, Nanfan LI, Changli SHI. Grid-connected switch control strategy suitable for energy storage converter in microgrid [J]. Energy Storage Science and Technology, 2022, 11(1): 156-163.
[9]	Yuxuan XIE, Yunju BAI, Yijun XIAO. Overall capacity allocation of energy storage tram with ground charging piles [J]. Energy Storage Science and Technology, 2021, 10(4): 1388-1399.
[10]	Wencan LI, Jingliang LV, Xinjian JIANG, Xinzhen ZHANG. Control method for fault ride-through of flywheel energy storage system based on multi-mode coordination [J]. Energy Storage Science and Technology, 2020, 9(6): 1905-1916.
[11]	Zhengyi ZHAO, Baoqing YU, Deqing KONG, Haiying REN. Research on capacity configuration and control strategy of the super capacitor energy storage device for rail transit [J]. Energy Storage Science and Technology, 2020, 9(5): 1558-1561.
[12]	LI Xiaoen, LU Ting, ZHAO Lulu, ZHOU You. Modeling and control strategy for energy storage system of micro-grid based on value stream analysis method [J]. Energy Storage Science and Technology, 2020, 9(3): 735-742.
[13]	GUO Xin, ZHAO Yefei, ZHENG Junsheng, QIN Nan, DAI Ningning. Design of 48 V automobile start-stop power system based on lithium ion capacitor [J]. Energy Storage Science and Technology, 2019, 8(6): 1159-1164.
[14]	YANG Fengping, ZHENG Wenqi, JIN Lin, XIE Mengsha, LIU Feng. Integrated control strategy of vehicle supercapacitor energy storage system based on MMC [J]. Energy Storage Science and Technology, 2019, 8(6): 1151-1158.
[15]	JIN Ruijiu, ZHANG Xiangfeng, WANG Zhijie. Adaptive control strategy for energy storage battery output with inconsistent performance [J]. Energy Storage Science and Technology, 2019, 8(6): 1253-1259.