Research on capacity configuration and energy optimization of energy storage systems in rail transit

doi:10.19799/j.cnki.2095-4239.2024.1001

Abstract

Abstract:

In recent years, the scale of urban rail transit has grown very rapidly, and the overall energy consumption of rail transit transportation systems has increased accordingly. Aiming at the problem of high energy consumption in rail transit transportation, this paper studies and analyzes the capacity configuration and energy optimization of rail energy storage systems. First, the research and application progress of energy storage systems in rail transit transportation is summarized, and then the capacity configuration and energy optimization problems of energy storage systems are analyzed and modeled, and a full life cycle cost model of energy storage systems is constructed. Finally, a hybrid optimization algorithm based on genetic algorithm and particle swarm algorithm is proposed to obtain the minimum total cost and the corresponding capacity and energy configuration, which will help achieve the goals of energy-saving, low-carbon and green rail transit transportation.

Key words: rail transit, energy storage system, capacity configuration

CLC Number:

TM 912

Jing WU, Le ZHANG. Research on capacity configuration and energy optimization of energy storage systems in rail transit[J]. Energy Storage Science and Technology, 2024, 13(11): 4053-4055.

References 4

1	胡婧娴, 林仕立, 宋文吉, 等. 城市轨道交通储能系统及其应用进展[J]. 储能科学与技术, 2014, 3(2): 106-116. DOI: 10.3969/j.issn.2095-4239.2014.02.003.
	HU J X, LIN S L, SONG W J, et al. Energy storage for urban rail transportation[J]. Energy Storage Science and Technology, 2014, 3(2): 106-116. DOI: 10.3969/j.issn.2095-4239.2014.02.003.
2	韩悦, 李佳静, 乔宇, 等. 城轨混合储能系统控制策略综述与展望[J/OL]. 电源学报. (2024-04-26)[2024-05-01]. https://kns.cnki.net/kcms/detail/12.1420.tm.20240426.1021.022.html.
	HAN Y, LI J J, QIAO Y, et al. Energy-saving operation optimization strategy of urban rail transit co-phase energy storage power supply system [J/OL]. Journal of Power Supply. (2024-04-26) [2024-05-01]. https://kns.cnki.net/kcms/detail/12.1420.tm.20240426.1021.022.html.
3	李想, 张建成, 王宁. 超级电容器-飞轮-蓄电池混合储能系统容量配置方法研究[J]. 中国电力, 2018, 51(11): 117-124. DOI: 10.11930/j.issn.1004-9649.201802037.
	LI X, ZHANG J C, WANG N. Capacity configuration strategy for super capacitor-flywheel-battery hybrid energy storage system[J]. Electric Power, 2018, 51(11): 117-124. DOI: 10.11930/j.issn.1004-9649.201802037.
4	曹华锋, 白迪, 赵志刚. 混合储能超级电容与蓄电池能量分配策略研究[J]. 东北电力技术, 2016, 37(6): 11-14. DOI: 10.3969/j.issn.1004-7913.2016.06.004.
	CAO H F, BAI D, ZHAO Z G. Energy allocation strategy of super capacitor and storage battery based on hybrid energy storage[J]. Northeast Electric Power Technology, 2016, 37(6): 11-14. DOI: 10.3969/j.issn.1004-7913.2016.06.004.

[1]	Zhanwei LI, Dongfang FAN, Chao ZENG, Wenqian HE, Jin HE. Research on capacity optimization configuration and operation strategy of energy storage system considering wind and solar consumption [J]. Energy Storage Science and Technology, 2024, 13(8): 2713-2725.
[2]	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.
[3]	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.
[4]	Daxing ZHANG, Zerong HUANG, Xiangdong WANG, Yankai Wang, Bingzi CAI, Haoyu YUAN, Mingming TIAN, Yingping YUAN, Yuan CAO. Balancing control strategy for cascaded utilization of battery systems using power converters [J]. Energy Storage Science and Technology, 2024, 13(5): 1635-1642.
[5]	Runyuan LI, Fu'ao GUO, Gangchao ZHAO. Early warning method for fire safety of containerized lithium-ion battery energy storage systems [J]. Energy Storage Science and Technology, 2024, 13(5): 1595-1602.
[6]	Yan ZHANG, Zheng YUAN. Microelectromechanical control technology for compressed air energy storage systems [J]. Energy Storage Science and Technology, 2024, 13(5): 1551-1553.
[7]	Jie ZHANG, Chenghui WU, Mingjun PAN, Tianen ZHAO. Error analysis of insulation resistance detection method in battery energy storage system [J]. Energy Storage Science and Technology, 2024, 13(4): 1167-1175.
[8]	Yi GU, Jie XING, Hongyan MA, Shan GAO. Optimal operation strategy of distributed photovoltaic and energy storage systems by considering voltage violations in the distribution network [J]. Energy Storage Science and Technology, 2024, 13(3): 893-902.
[9]	Jinya ZHANG, Wenbo ZHOU, Ziyiyi CHENG. Performance comparison of metal foam and fin phase-change energy storage system based on LBM [J]. Energy Storage Science and Technology, 2024, 13(2): 598-607.
[10]	Yangkai LIU, Weiqing SUN, Wei LIU. Multiscenario energy storage selection method based on AHP and TOPSIS-fuzzy comprehensive evaluation [J]. Energy Storage Science and Technology, 2024, 13(2): 691-701.
[11]	Yun WANG, Fei MENG, Chao ZHANG, Tao LI, Bo TIAN, Jiangpeng LI, Haidong CHEN, Zhihua ZHANG. Effect of ammonia decomposition hydrogen production and energy storage system capacity on performance of power system [J]. Energy Storage Science and Technology, 2024, 13(2): 589-597.
[12]	Qianqian ZHANG. Application of phase change storage technology in food cold chain logistics [J]. Energy Storage Science and Technology, 2024, 13(2): 480-482.
[13]	Yunjie LU. Research on control technology of electric vehicle energy storage system [J]. Energy Storage Science and Technology, 2024, 13(2): 608-610.
[14]	Yuanming SONG, Yajie LIU, Guang JIN, Xing ZHOU, Xucheng HUANG. Review of energy management methods for lithium-ion battery/supercapacitor hybrid energy storage systems [J]. Energy Storage Science and Technology, 2024, 13(2): 652-668.
[15]	Junyi ZHI, Haoshu LING, Hao WU, Yilin ZHU, Haotian SHEN, Yujie XU, Haisheng CHEN. Optimization of capacity configuration for multi-energy complementary systems using wind, solar, and energy storage [J]. Energy Storage Science and Technology, 2024, 13(11): 3874-3888.