Study on key influencing factors of the rail gravity energy storage system and its coupling with wind farms

doi:10.19799/j.cnki.2095-4239.2023.0962

Abstract

Abstract:

Large-scale energy storage technology plays a crucial role in the development of renewable energy and the stability of power grids. Rail gravity energy storage (RGES) technology enables flexible load locomotive dispatch for energy storage and release. It effectively addresses the issue of significant power fluctuations in wind farms and presents significant potential for long-term, large-scale energy storage applications. This paper explores the key influencing factors of the RGES system and its integrated scheduling with a wind farm. We constructed models of the RGES system and its coupled system with the wind farm using MATLAB software. The study examines how key parameters affect the RGES system during the energy storage and release process. To minimize the wind power curtailment rate, we analyzed the operational characteristics and system configurations of the coupled system during typical days across all seasons in detail. The results indicate that the power for energy storage and release increases with higher load mass and faster upward/downhill speeds during the constant speed phase. The efficiency of energy storage and release, as well as overall system efficiency, show minimal variation with load mass but decrease with increasing speeds. When coupled with a wind farm, the RGES system can adapt the number of trucks and their speeds for optimal energy storage and release, achieving stable power outputs of 22 MW, 16 MW, 27 MW, and 29 MW during peak consumption on typical days in each season, enhancing the wind power utilization rate by an average of 17.1%.

Key words: physical energy storage, gravity energy storage, rail gravity energy storage, wind farm, coupling study

CLC Number:

TK 02

Yahui NIE, Xuezhi ZHOU, Dingzhang GUO, Yujie XU, Haisheng CHEN. Study on key influencing factors of the rail gravity energy storage system and its coupling with wind farms[J]. Energy Storage Science and Technology, 2024, 13(6): 1900-1910.

Figures/Tables 11

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参数	数值	单位	参数	数值	单位
单辆载重车辆质量	92	t	斜坡坡度角	15	°
单轨道车辆数范围	1~10	辆	变流器效率	97	%
载重车组迎风面积	8	m²	电机效率	96	%
斜坡高度	500	m	传动效率	96	%
空气阻力系数	0.6	—	轮轨滚动摩擦系数	0.006	—

时段	该时段RGES系统总出力/MW	该时段配置重块总质量/t	该时段配置车辆总数/辆	该时段车辆匀速阶段上/下坡速度/(km/h)
22:00	3.98	920	10	6
23:00	8.02	1012	11	11
0:00	8.02	1012	11	11
1:00	3.58	276	3	18
2:00	30.62	1932	21	22
3:00	15.51	1656	18	13
4:00	8.35	1932	21	6
5:00	21.87	2024	22	15
6:00	23.33	2024	22	16
7:00	19.88	1840	20	15
8:00	16.48	920	10	26
9:00	4.06	368	4	16
10:00	11.12	828	9	19.5
11:00	10.39	736	8	20.5
12:00	1.39	92	1	22
13:00	0.76	184	2	6
14:00	1.43	276	3	7.5
15:00	3.42	184	2	27
16:00	0.60	92	1	9.5
17:00	1.27	184	2	10
18:00	8.74	552	6	23
19:00	8.62	1564	17	8
20:00	7.13	276	3	37.5
21:00	8.93	276	3	47
22:00	19.87	1012	11	28.5

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