Overall capacity allocation of energy storage tram with ground charging piles

doi:10.19799/j.cnki.2095-4239.2021.0048

Abstract

Abstract:

In recent years, the development of energy storage trams has attracted considerable attention. Our current research focuses on a new type of tram power supply system that combines ground charging devices and energy storage technology. Based on the existing operating mode of a tram on a certain line, this study examines the combination of ground-charging devices and energy storage technology to form a vehicle (with a Li battery and a super capacitor) and a ground (ground charging pile) power system. Under the premise of tram operation and safety, an economic model of the integrated power system of ground, vehicle, and ground is established, and a particle swarm optimization (PSO) algorithm is used to obtain the most economical capacity allocation plan. Through a comparative analysis and compared with the existing pure supercapacitor "station charging" mode, the new capacity configuration scheme proposed in this study would reduce the average daily cost by 9.8% and save 10.64 million yuan in the overall cost. The charging power requirements would be reduced by 66.7%.

Key words: energy storage trams, super capacitors, lithium batteries, ground charging stations, capacity configuration

CLC Number:

TM 911

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.

Figures/Tables 19

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Table 5

Simulation parameters"

参数名称	参数值
超级电容单位容量成本C_kW_·_{h_s}	50000元/(kW·h)
锂电池单位容量成本C_kW_·_{h_b}	8000元/(kW·h)
锂电池模组维护成本C_{b_my}	800元/年
超级电容模组维护成本C_{s_my}	800元/年
DC/DC功率单价C_{dc_kW}	400元/kW
充电站年维护成本C_{w_s}	3000元/(个 $?$ 年)
充电站固定建设成本C_ch,s	150万元/个
基础容量费C_ba	32元/(月 $?$ kW)
功率因数cosφ	90%
变压器效率η₂	90%
充电机效率η_c	95%
充电站充电功率单价C_ch,se	1000元/kW
有轨电车服役年限T	20年
有轨电车数量N_tram	8辆
有轨电车单日运行趟数N_tang	132趟

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References 16

1	张海军. 对我国现代有轨电车发展应用的思考[J]. 城市轨道交通研究, 2015, 18(7): 119-123.Zhang H J. Prospect of modern tram application in China [J]. Urban Mass Transit, 2015, 18(7): 119-123.
2	蓝兰. 全国现代有轨电车建设情况[J]. 工程机械文摘, 2014(4): 81-86.
3	王梅. 我国现代有轨电车发展的现状、趋势与思考[J]. 交通与港航, 2017(1): 14.
4	何治新. 现代有轨电车牵引供电方式选择[J]. 城市轨道交通研究, 2013, 16(7): 105-108.HE Z X. Selection of modern tram traction power supply system [J]. Urban Mass Transit, 2013, 16(7): 105-108.
5	陈绪明, 张江山. 关于现代有轨电车系统制式选择探讨[J]. 综合运输, 2015(6): 77-82.CHEN X M, ZHANG J S. Discussion on the choice of modern tram system mode [J]. Comprehensive Transportation, 2015(6): 77-82.
6	李芹芹, 张维戈, 黄梅. 快速充电站储能系统容量配置的研究[J]. 电气应用, 2017, 36(5): 26-31.
7	张本松, 薛川, 陶袁帅. 一种现代有轨电车储能电源及充电站优化配置方案[J]. 内燃机与配件, 2018, 274(22): 188-190.
8	韦绍远, 姜久春, 程龙, 等. 储能式有轨电车车地一体化配置模型[J]. 电工技术学报, 2019, 34(2): 229-238.WEI S Y, JIANG J C, CHENG L, et al. Optimal sizing model of the energy storage type tramway considering the integration of on-board energy storage and off-board energy supply [J]. Transactions of China Electrotechnical Society, 2019, 34(2): 229-238.
9	徐梁飞, 李建秋, 杨福源, 等. 燃料电池混合动力系统镍氢电池特性[J]. 清华大学学报(自然科学版), 2008(5): 102-105.XU L F, LI J Q, YANG F Y, et al. Characteristics of a nickel metal hydride battery in a hybrid fuel cell system [J]. Journal of Tsinghua University (Science and Technology), 2008(5): 102-105.
10	李秭乐. 间歇式供电有轨电车地面储能系统优化配置[D]. 北京: 北京交通大学, 2019.
11	胡斌, 杨中平, 林飞, 等. 城市轨道交通用超级电容器组等效电路模型研究[J]. 机车电传动, 2013(5): 65-68+74.HU B, YANG Z P, LIN F, et al. Equivalent circuit model of super capacitor group for urban rail transit application [J]. Electric Drive for Locomotives, 2013(5): 65-68+74.
12	HERRERA V, MILO A, GAZTANAGA H, et al. Adaptive energy management strategy and optimal sizing applied on a battery-supercapacitor based tramway [J]. Applied Energy, 2016, 169(1): 831-845.
13	张帝, 姜久春, 张维戈, 等. 基于遗传算法的电动汽车换电站经济运行[J]. 电网技术, 2013, 37(8): 2101-2107.ZHANG D, JIANG J C, ZHANG W G, et al. Economic operation of electric vehicle battery swapping station based on genetic algorithms [J]. Power System Technology, 2013, 37(8): 2101-2107.
14	ZHANG D W, WU S J, LUO X H, et al. Study on the vehicle controller of hybrid electric vehicle based on fuzzy logic [C]// 2010 International Conference on Mechanic Automation and Control Engineering, 2010.
15	李辉, 韩红, 韩崇昭, 等. 基于遗传算法的模糊逻辑控制器优化设计[J]. 西安交通大学学报, 2002, 36(4): 385-389.LI H, HAN H, HAN C Z, et al. Optimization of fuzzy logic controller based on genetic algorithm [J]. Journal of Xi'an Jiaotong University, 2002, 36(4): 385-389.
16	杨继斌. 多能源混合动力有轨电车能量管理研究[D]. 成都: 西南交通大学, 2017.

DOD参数	充放电循环次数
DOD1（5%）	74928
DOD2（10%）	14925
DOD3（30%）	6742
DOD4（50%）	3886
DOD5（60%）	2538
DOD6（100%）	2331

DOD参数	充放电循环次数
DOD1(5%)	10⁶
DOD2(10%)	10⁶
DOD3(30%)	10⁶
DOD4(50%)	10⁶
DOD5(60%)	10⁶
DOD6(100%)	10⁶

P_re=P_T		SOC_sc
P_re=P_T		sS	sM	sL	sF	sT
SOC_b	S	TINY	SMA	SMA	MORE	MAX
	M	EXTI	SMA	SMA	MORE	MAX
	L	EXTI	TINY	SMA	MORE	MAX
P_re=P_S		SOC_sc
P_re=P_S		sS	sM	sL	sF	sT
SOC_b	S	TINY	LESS	LESS	MAX	MAX
	M	TINY	SMA	LESS	MAX	MAX
	L	EXTI	TINY	LESS	MORE	MAX
P_re=P_M		SOC_sc
P_re=P_M		sS	sM	sL	sF	sT
SOC_b	S	SMA	LESS	MED	MAX	MAX
	M	TINY	LESS	MED	MAX	MAX
	L	EXTI	SMA	MED	MAX	MAX

车地一体化供电模式	节约成本/万元	降低比例/%
混合储能“中间充”	567.91	5.24
混合储能“首末充”	258.52	2.39
混合储能“站站充”	489.82	4.52
混合储能“隔1站充”	1063.99	9.82
混合储能“隔2站充”	687.07	6.34
混合储能“隔3站充”	838.66	7.74

模式1
锂电池配置情况		超级电容配置情况		充电站配置情况
锂电池数量	1540个	超级电容模组数量	208个	充电站数量	7
串联数	220串	串联数	13串	充电站配置功率	400 kW
并联数	7并	并联数	16并	—	—
日均成本	0.30万元/天	日均成本	0.22万元/天	日均成本	0.82万元/天
车地一体化系统总成本		9773.22万元	车地一体化系统日均成本		1.34万元/天