Coordinated operation method of RPC-based hybrid energy storage access dual-mode traction power supply system

doi:10.19799/j.cnki.2095-4239.2023.0216

Abstract

Abstract:

The dual-mode railway line realizes the crossline operation and interconnection between the 25 kV AC power supply system of the urban (suburban) railway and the 1500 V DC power supply system of the urban metro, which is an essential means to help the efficient and energy-saving operation of rail transit. However, the mode barriers between the dual-mode traction power supply systems restrict the efficient utilization of the system's energy flow, resulting in a large number of train renewable energy that is difficult to fully utilize; therefore, the electricity cost continues to increase. This paper presents a topology of the railway power conditioner (RPC) based on hybrid energy storage, taking the lowest electric cost of a dual-mode traction power supply system as the optimization objective. In addition, power balance, converter capacity, the capacity of the energy storage device, and state of charge were considered the constraint condition. With the charging and discharging strategy of the hybrid energy storage device and the power flow control method of the RPC port as decision variables, the energy-efficient regulation and control between the AC system suburban railway and the DC system subway was realized. The optimization results showed that compared with the existing dual-mode traction power supply system, the proposed scheme could reduce the power consumption and maximum power demand of the traction substation, and the total cost-saving rate was 22.64%, verifying the effectiveness of the proposed coordinated operation method.

Key words: hybrid energy storage, dual-mode, railway power conditioner, optimal operation model

CLC Number:

TM 922.3

Hongcheng ZHAO, Zaihua LI, Junhong LAI, Yinyu CHEN, Boqi ZHANG, Kanghua GONG, Yi ZENG. Coordinated operation method of RPC-based hybrid energy storage access dual-mode traction power supply system[J]. Energy Storage Science and Technology, 2023, 12(9): 2862-2870.

Figures/Tables 10

Fig. 1

Table 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Table 2

References 20

1	王靛. 重庆市郊铁路与城市轨道贯通运营探索与实践[J]. 中国新技术新产品, 2020(8): 113-114.
	WANG D. Exploration and practice of Chongqing suburb railway and urban rail link operation[J]. New Technology & New Products of China, 2020(8): 113-114.
2	倪艺文, 杨茜婷, 唐锐, 等. 轨道交通四网融合与都市圈协同发展问题研究[J]. 城市公共交通, 2022(8): 44-49.
	NI Y W, YANG X T, TANG R, et al. Study on the coordinated development of the integration of rail transit four networks and metropolitan areas[J]. Urban Public Transport, 2022(8): 44-49.
3	沈曼盛, 周方圆. 国内外铁路牵引供电技术发展现状及趋势[J]. 电气化铁道, 2019, 30(1): 1-7, 12.
	SHEN M S, ZHOU F Y. Current status and trend for development of railway traction power supply technologies at home and abroad[J]. Electric Railway, 2019, 30(1): 1-7, 12.
4	范锦江, 陈慧民, 姜东杰. 城市轨道交通不同牵引供电制式的比较[J]. 城市轨道交通研究, 2016, 19(12): 97-100.
	FAN J J, CHEN H M, JIANG D J. On different urban rail transit traction power supply mode[J]. Urban Mass Transit, 2016, 19(12): 97-100.
5	重庆市住房和城乡建设委员会.双流制轨道交通技术标准: DBJ 50/T-414—2022[S]. 重庆: 重庆市住房和城乡建设委员会, 2022.
6	王猛, 狄谨, 陈民武, 等. 市域铁路贯通运营城市地铁关键技术研究[J]. 中国铁道科学, 2022, 43(6): 161-174.
	WANG M, DI J, CHEN M W, et al. Research on the key technology of through operation of suburban railway and urban metro[J]. China Railway Science, 2022, 43(6): 161-174.
7	王大杰, 陈鹰, 唐英伟, 等. 飞轮储能系统在电气化铁路的应用与研究[J]. 储能科学与技术, 2018, 7(5): 853-860.
	WANG D J, CHEN Y, TANG Y W, et al. Application and research of flywheel energy storage system in electrified railway[J]. Energy Storage Science and Technology, 2018, 7(5): 853-860.
8	李彦吉, 陈鹰, 李祎杨. 基于飞轮储能的牵引变电所能量回收和电能质量综合治理系统的设计[J]. 储能科学与技术, 2022, 11(12): 3883-3894.
	LI Y J, CHEN Y, LI Y Y. Design of regenerative braking and power quality harnessed synthetically system in traction substation based on flywheel energy storage[J]. Energy Storage Science and Technology, 2022, 11(12): 3883-3894.
9	黄文龙, 胡海涛, 陈俊宇, 等. 枢纽型牵引变电所再生制动能量利用系统能量管理及控制策略[J]. 电工技术学报, 2021, 36(3): 588-598.
	HUANG W L, HU H T, CHEN J Y, et al. Energy management and control strategy of regenerative braking energy utilization system in hub traction substation[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 588-598.
10	程一林. 含混合储能的同相供电系统建模及协调控制策略研究[D]. 成都: 西南交通大学, 2021.
	CHENG Y L. Modeling and coordination control strategy of hybrid energy storage intergrated co-phase power supply system[D]. Chengdu: Southwest Jiaotong University, 2021.
11	谢斌. 高速电气化铁路大容量电能质量调节系统理论与应用研究[D]. 长沙: 湖南大学, 2018.
	XIE B. Research on the theory and application of large-capacity power quality conditioning system for high-speed electric railways[D]. Changsha: Hunan University, 2018.
12	张友鹏, 杨宏伟, 赵珊鹏. 超级电容器在高速铁路再生制动能量存储中的应用及控制[J]. 储能科学与技术, 2019, 8(6): 1145-1150.
	ZHANG Y P, YANG H W, ZHAO S P. Application and control of super capacitor in high-speed railway regenerative braking energy storage[J]. Energy Storage Science and Technology, 2019, 8(6): 1145-1150.
13	马茜, 郭昕, 罗培, 等. 一种基于超级电容器储能系统的新型铁路功率调节器[J]. 电工技术学报, 2018, 33(6): 1208-1218.
	MA Q, GUO X, LUO P, et al. A novel railway power conditioner based on super capacitor energy storage system[J]. Transactions of China Electrotechnical Society, 2018, 33(6): 1208-1218.
14	马茜, 郭昕, 罗培, 等. 基于超级电容器储能的新型铁路功率调节器协调控制策略设计[J]. 电工技术学报, 2019, 34(4): 765-776.
	MA Q, GUO X, LUO P, et al. Coordinated control strategy design of new type railway power regulator based on super capacitor energy storage[J]. Transactions of China Electrotechnical Society, 2019, 34(4): 765-776.
15	董文哲, 杨斯泐, 梁宗佑, 等. 集成混合储能及RPC的牵引供电系统优化运行[J]. 储能科学与技术, 2023, 12(4): 1185-1193.
	DONG W Z, YANG S L, LIANG Z Y, et al. 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.
16	YANG Z H, YANG Z P, XIA H, et al. Brake voltage following control of supercapacitor-based energy storage systems in metro considering train operation state[J]. IEEE Transactions on Industrial Electronics, 2018, 65(8): 6751-6761.
17	ZHU F Q, YANG Z P, XIA H, et al. Hierarchical control and full-range dynamic performance optimization of the supercapacitor energy storage system in urban railway[J]. IEEE Transactions on Industrial Electronics, 2018, 65(8): 6646-6656.
18	DE LA TORRE S, SÁNCHEZ-RACERO A J, AGUADO J A, et al. Optimal sizing of energy storage for regenerative braking in electric railway systems[J]. IEEE Transactions on Power Systems, 2015, 30(3): 1492-1500.
19	李群湛, 王喜军, 黄小红, 等. 电气化铁路飞轮储能技术研究[J]. 中国电机工程学报, 2019, 39(7): 2025-2033.
	LI Q Z, WANG X J, HUANG X H, et al. Research on flywheel energy storage technology for electrified railway[J]. Proceedings of the CSEE, 2019, 39(7): 2025-2033.
20	刘元立, 李群湛. 含光伏和混合储能的同相牵引供电系统日前优化调度[J]. 西南交通大学学报, 2023, 58(1): 30-39.
	LIU Y L, LI Q Z. Day-ahead optimal scheduling of co-phase traction power supply system with photovoltaic and hybrid energy storage[J]. Journal of Southwest Jiaotong University, 2023, 58(1): 30-39.

参数	单位	数值
U_AC	kV	27.5
U_DC	kV	1.5
S_AC-DC,cap	MVA	5
S_DC-DC,cap	MVA	3
S_3pAC-DC,cap	MVA	2

储能方式	原始电费	优化后电费	节费率	循环次数
超级电容器储能	6.14万元	5.06万元	-17.58%	98次
蓄电池储能		5.34万元	-13.02%	73次
混合储能		4.75万元	-22.64%	超级电容器96次，蓄电池8次

[1]	Bin LI, Jilei YE, Yu ZHANG, Shanshan SHI, Haojing WANG, Lili LIU, Mingzhe LI. Microgrid-coordinated control strategy with distributed new energy and electro-mechanical hybrid energy storage [J]. Energy Storage Science and Technology, 2023, 12(5): 1510-1515.
[2]	Xin WU, Wenju SHANG, Zhiyong MA, Wei TENG, Shuang ZHANG, Hairong LUO. Coordinated control method for pumped and flywheel hybrid energy storage system [J]. Energy Storage Science and Technology, 2023, 12(2): 468-476.
[3]	Jie SONG, Linxiao GENG, Yongfu SANG, Rongbin WEN, Peng SUN, Linjuan GONG. Study on primary frequency modulation capacity planning of thermal power unit assisted by hybrid energy storage based on EMD decomposition [J]. Energy Storage Science and Technology, 2023, 12(2): 496-503.
[4]	Jianmin HAN, Feiyu XUE, Shuangyin LIANG, Tianshu QIAO. Hybrid energy storage system assisted frequency modulation simulation of the coal-fired unit under fuzzy control optimization [J]. Energy Storage Science and Technology, 2022, 11(7): 2188-2196.
[5]	Bin GUO, Jie XING, Fei YAO, Xiaomin JING. Optimal configuration of user-side hybrid energy storage based on bi-level programming model [J]. Energy Storage Science and Technology, 2022, 11(2): 615-622.
[6]	Hao QIN, Lijun QIN, Xuechen BAI, Cong LI. A control strategy of flywheel energy storage system participating frequency regulation with pumped storage [J]. Energy Storage Science and Technology, 2022, 11(12): 3915-3925.
[7]	Wenqiang YANG, Bin CHANG. Research on the configuration method & tool for the hybrid energy storage system on the power generation side [J]. Energy Storage Science and Technology, 2022, 11(10): 3246-3256.
[8]	Liangbo QIAO, Xiaohu ZHANG, Xianzhong SUN, Xiong ZHANG, Yanwei MA. Advances in battery-supercapacitor hybrid energy storage system [J]. Energy Storage Science and Technology, 2022, 11(1): 98-106.
[9]	Xiaozhi GAO, Lei WANG, Jin TIAN, Jialu LIU, Qinghua LIU. Research on hybrid energy storage power distribution strategy based on parameter optimization variational mode decomposition [J]. Energy Storage Science and Technology, 2022, 11(1): 147-155.
[10]	Yang XIA, Guang JIN, Li ZHANG, Zhihui LIU, Shaopeng GUO. Research status of hybrid energy storage technology based on building energy system [J]. Energy Storage Science and Technology, 2021, 10(6): 2169-2180.
[11]	ZHANG Qian, WU Xiaolan, BAI Zhifeng, CHENG Jingyi. Research on adaptive energy management strategy of hybrid energy storage system in electric vehicles [J]. Energy Storage Science and Technology, 2020, 9(3): 878-884.
[12]	MIAO Ping, YAO Zhen, LEMMON John, LIU Qinghua, WANG Baoguo. Current situations and prospects of energy storage batteries [J]. Energy Storage Science and Technology, 2020, 9(3): 670-678.
[13]	ZHANG Baoge, ZHANG Zhen, WANG Donghao, LI Ping, RONG Yao. A bidirectional DC/DC converter for hybrid energy storage system [J]. Energy Storage Science and Technology, 2020, 9(1): 178-185.
[14]	ZHANG Mengtian, TIAN Shu, ZENG Zhihui. Optimal allocation of hybrid energy storage capacity based on variational mode decomposition [J]. Energy Storage Science and Technology, 2020, 9(1): 170-177.
[15]	ZHANG Baoge, LI Ping, ZHANG Zhen, WANG Yu, RONG Yao. Energy management strategy of hybrid energy storage system for urban rail trains [J]. Energy Storage Science and Technology, 2020, 9(1): 204-210.