变调节因子的不同容量锂电池储能系统能量控制策略

Abstract
Figure/Table
References
Related Citation (0)

Download: PDF (1787 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract To achieve state of charge (SOC) balancing control and power allocation of energy storage units (ESUs) with different capacities, an energy control strategy with variable regulation factors for energy storage systems with different capacities is proposed. By establishing an exponential function that introduces a capacity factor, each ESU allocates output power according to its capacity ratio, while setting a dynamic adjustment factor to increase as the difference between the SOC of each ESU and the global SOC average decreases, solving the problem of the imbalance between maximum output power and equilibrium speed. To reduce communication pressure, a dynamic consistency algorithm is used to obtain the global average value and develop a control strategy in case of communication failure, so that the system can operate stably. Finally, the Matlab/Simulink simulation is conducted, and the results show that the proposed strategy has faster equalization speed and more accurate power allocation compared to the fixed adjustment factor SOC equalization strategy.

Key words： lithium battery energy storage system energy control balancing technology different capacities

Received: 12 October 2023

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	YAN Renwu
	JIANG Xueer

Cite this article:

YAN Renwu,JIANG Xueer. Energy control strategies for lithium battery energy storage systems with different capacities based on variable regulating factors[J]. Electrical Engineering, 2024, 25(2): 21-30.

URL:

http://dqjs.cesmedia.cn/EN/Y2024/V25/I2/21

[1] 郭慧, 汪飞, 顾永文, 等. 基于电压分层控制的直流微电网及其储能扩容单元功率协调控制策略[J]. 电工技术学报, 2022, 37(12): 3117-3131.
[2] 刘丹妮, 马猛飞. 基于下垂控制的微电网并网转孤网的研究[J]. 电气技术, 2021, 22(2): 21-25.
[3] 李浩琛, 郭志坚. 基于信号补偿下垂控制的微电网动态性能分析[J]. 电气技术, 2022, 23(10): 33-40.
[4] 杨珺, 侯俊浩, 刘亚威, 等. 分布式协同控制方法及在电力系统中的应用综述[J]. 电工技术学报, 2021, 36(19): 4035-4049.
[5] 代广贵, 何晋, 张博嘉. 考虑不同容量的储能SOC均衡与功率分配策略[J]. 电力建设, 2023, 44(6): 12-22.
[6] LI Demin, WU Zaijun, ZHAO Bo, et al.An improved droop control for balancing state of charge of battery energy storage systems in AC microgrid[J]. IEEE Access, 2020, 8: 71917-71929.
[7] 吴青峰, 孙孝峰, 王雅楠, 等. 基于分布式下垂控制的微电网分布式储能系统SOC平衡策略[J]. 电工技术学报, 2018, 33(6): 1247-1256.
[8] HUANG Wangxin, ABU QAHOUQ J A. Energy sharing control scheme for state-of-charge balancing of distributed battery energy storage system[J]. IEEE Transactions on Industrial Electronics, 2015, 62(5): 2764-2776.
[9] XIONG Rui, DUAN Yanzhou.Development and verification of the equilibrium strategy for batteries in electric vehicles[J]. Journal of Beijing Institute of Technology, 2018, 27(1): 22-28.
[10] 续丹, 毛景禄, 王斌, 等. 分布式电池电源模块储能系统的荷电状态均衡控制[J]. 西安交通大学学报, 2019, 53(10): 79-85.
[11] LU Xiaonan, SUN Kai, GUERRERO J M, et al.Double-quadrant state-of-charge-based droop control method for distributed energy storage systems in autonomous DC microgrids[J]. IEEE Transactions on Smart Grid, 2015, 6(1): 147-157.
[12] 杨捷, 金新民, 吴学智, 等. 一种适用于直流微电网的改进型电流负荷分配控制策略[J]. 中国电机工程学报, 2016, 36(1): 59-67.
[13] 李鹏程, 张纯江, 袁然然, 等. 改进SOC下垂控制的分布式储能系统负荷电流分配方法[J]. 中国电机工程学报, 2017, 37(13): 3746-3754.
[14] 方炜, 徐朋, 刘晓东, 等. 直流微网储能系统SoC均衡及电压恢复[J]. 电气自动化, 2019, 41(2): 36-38, 58.
[15] 刘勇, 雷延科, 盘宏斌. 一种直流微电网无母线电压偏移的均衡控制策略[J]. 电力系统保护与控制, 2020, 48(12): 154-161.
[16] 张良, 闫凯宏, 冷祥彪, 等. 基于SOC下垂控制的独立直流微电网协调控制策略研究[J]. 电力系统保护与控制, 2021, 49(12): 87-97.
[17] 樊重阳, 何山. 电流精确分配的直流微网储能单元SOC均衡控制策略[J]. 安徽大学学报(自然科学版), 2022, 46(3): 102-108.
[18] 崔关奇, 刘毅力, 杨茵. 基于指数型下垂控制的改进SOC均衡控制策略研究[J]. 国外电子测量技术, 2023, 42(3): 66-73.
[19] 刘彦呈, 庄绪州, 张勤进, 等. 基于虚拟频率的直流微电网下垂控制策略[J]. 电工技术学报, 2021, 36(8): 1693-1702.
[20] 姚卫波, 徐晔, 黄克峰, 等. 基于前馈解耦的交直流混合微电网双向AC-DC变换器控制策略研究[J]. 电气技术, 2022, 23(5): 25-33.
[21] 朱珊珊, 汪飞, 郭慧, 等. 直流微电网下垂控制技术研究综述[J]. 中国电机工程学报, 2018, 38(1): 72-84, 344.