基于扩散算法的无下垂分布式储能控制

doi:10.16183/j.cnki.jsjtu.2022.487

上海交通大学学报 ›› 2024, Vol. 58 ›› Issue (6): 836-845.doi: 10.16183/j.cnki.jsjtu.2022.487

• 新型电力系统与综合能源 • 上一篇下一篇

基于扩散算法的无下垂分布式储能控制

米阳, 张浩杰(), 钱翌明, 邢海军, 龚锦霞, 孙改平

上海电力大学电气工程学院,上海 200090

收稿日期:2022-12-02 修回日期:2023-02-22 接受日期:2023-04-06 出版日期:2024-06-28 发布日期:2024-07-05
通讯作者: 张浩杰,硕士生;E-mail: zhjyxa@163.com.
作者简介:米阳(1976-),教授,博士生导师,从事微网控制、电力系统稳定与控制等研究.
基金资助:
上海市自然科学基金(22ZR1425500);国家自然科学基金(61873159)

Droop-Free Distributed Energy Storage Control Based on Diffusion Algorithm

MI Yang, ZHANG Haojie(), QIAN Yiming, XING Haijun, GONG Jinxia, SUN Gaiping

College of Electrical Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China

Received:2022-12-02 Revised:2023-02-22 Accepted:2023-04-06 Online:2024-06-28 Published:2024-07-05

摘要/Abstract

摘要：

针对线路阻抗不匹配及母线电压不一致时,下垂控制无法同时实现母线电压稳定及储能间功率精确分配的问题,提出一种基于扩散算法的无下垂分布式储能控制策略.首先,将扩散算法应用于直流微电网的分布式估计中获取全局平均量,同时将电压额定值与平均电压的差值作为补偿项,用于恢复母线电压偏差.为了实现不同额定容量及不同荷电状态(SOC)的储能间功率精确分配,设计储能的标准功率并将其与平均标准功率的差值作为补偿项,用于储能间SOC的均衡.最后,利用RT-LAB平台搭建模型,分别验证4种不同工作模式下所设计控制策略的有效性.实验结果表明,所提控制策略可实现孤岛直流微电网母线电压恢复及储能功率的精确分配.

关键词: 直流微电网, 扩散算法, 无下垂控制, 分布式控制, 功率精确分配

Abstract:

A droop-free distributed energy storage control strategy based on the diffusion algorithm is proposed to address the inability of droop control to simultaneously achieve bus voltage stability and accurate power distribution among energy storage systems when the line impedance is mismatched and bus voltage is inconsistent. First, the diffusion algorithm is applied to the distributed estimation of direct current (DC) microgrid to obtain the global average, and the difference between the voltage rating and the average voltage is used as a compensation term to restore the bus voltage deviation. Then, in order to achieve the accurate distribution of power between energy storage systems with different rated capacities and different states of charge (SOC), a standard power of energy storage is designed and the difference between the standard power and the average standard power is used as a compensation term for the equilibrium of SOC between energy storage systems. Finally, a model based on RT-LAB is built to verify the effectiveness of the designed control strategy in four different operating modes. The experimental results show that the proposed control strategy can achieve the bus voltage recovery and the accurate distribution of energy storage power in the isolated DC microgrid.

Key words: direct current (DC) microgrid, diffusion algorithm, free droop control, distributed control, precise power distribution

中图分类号:

TM727

米阳, 张浩杰, 钱翌明, 邢海军, 龚锦霞, 孙改平. 基于扩散算法的无下垂分布式储能控制[J]. 上海交通大学学报, 2024, 58(6): 836-845.

MI Yang, ZHANG Haojie, QIAN Yiming, XING Haijun, GONG Jinxia, SUN Gaiping. Droop-Free Distributed Energy Storage Control Based on Diffusion Algorithm[J]. Journal of Shanghai Jiao Tong University, 2024, 58(6): 836-845.

图/表 12

图1

图2

图3

图4

表1

图5

图6

图7

图8

图9

图10

图11

参考文献 19

[1]	李霞林, 郭力, 王成山, 等. 直流微电网关键技术研究综述[J]. 中国电机工程学报, 2016, 36(1): 2-17.
	LI Xialin, GUO Li, WANG Chengshan, et al. Key technologies of DC microgrids: An overview[J]. Proceedings of the CSEE, 2016, 36(1): 2-17.
[2]	姜飞, 林政阳, 何桂雄, 等. 基于动态一致性算法的光伏-储能分布式协调电压控制[J]. 天津大学学报(自然科学与工程技术版), 2021, 54(12): 1299-1308.
	JIANG Fei, LIN Zhengyang, HE Guixiong, et al. Coordinated voltage control of distributed photovoltaic-energy-storage systems based on a dynamic consensus algorithm[J]. Journal of Tianjin University(Science & Technology) 2021, 54(12): 1299-1308.
[3]	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.
	ZHU Shanshan, WANG Fei, GUO Hui, et al. Overview of droop control in DC mi-crogrid[J]. Proceedings of the CSEE, 2018, 38(1): 72-84.
[4]	符杨, 郭笑岩, 米阳, 等. 基于强化学习的直流微电网分布式经济下垂控制[J]. 电力自动化设备, 2021, 41(11): 1-7.
	FU Yang, GUO Xiaoyan, MI Yang, et al. Distributed economic droop control for DC microgrid based on reinforcement learning[J]. Electric Power Automation Equipment, 2021, 41(11): 1-7.
[5]	王慧, 赵书强, 孟建辉, 等. 基于下垂曲线截距调整的直流微电网自适应虚拟惯性控制[J]. 电力系统自动化, 2021, 45(24): 97-105.
	WANG Hui, ZHAO Shuqiang, MENG Jianhui, et al. Adaptive virtual inertia control for DC microgrid based on droop curve intercept adjustment[J]. Automation of Electric Power Systems, 2021, 45(24): 97-105.
[6]	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.
	LI Pengcheng, ZHANG Chunjiang, YUAN Ranran, et al. Load current sharing method of distributed energy storage systems by improved SOC drooping control[J]. Proceedings of the CSEE, 2017, 37(13): 3746-3754.
[7]	米阳, 常俊飞, 时帅, 等. 基于数据驱动的孤岛直流微电网二次控制[J]. 电力自动化设备, 2021, 41(5): 92-98.
	MI Yang, CHANG Junfei, SHI Shuai, et al. Data-driven based secondary control for islanded DC micro-grid[J]. Electric Power Automation Equipment, 2021, 41(5): 92-98.
[8]	谢文强, 韩民晓, 王皓界, 等. 基于虚拟电压的直流微电网多源协调控制策略[J]. 中国电机工程学报, 2018, 38(5): 1408-1418.
	XIE Wenqiang, HAN Minxiao, WANG Haojie, et al. Multi-source coordinated control strategy of DC micro-grid based on virtual voltage[J]. Proceedings of the CSEE, 2018, 38(5): 1408-1418.
[9]	卢自宝, 钟尚鹏, 郭戈. 基于分布式策略的直流微电网下垂控制器设计[J]. 自动化学报, 2021, 47(10): 2472-2483.
	LU Zibao, ZHONG Shangpeng, GUO Ge. Design of droop controller for DC microgrid based on distributed strategy[J]. Acta Automatica Sinica, 2021, 47(10): 2472-2483.
[10]	米阳, 吴彦伟, 符杨, 等. 独立光储直流微电网分层协调控制[J]. 电力系统保护与控制, 2017, 45(8): 37-45.
	MI Yang, WU Yanwei, FU Yang, et al. Hierarchical coordinated control of island DC microgrid with photovoltaic and storage system[J]. Power System Protection & Control, 2017, 45(8): 37-45.
[11]	杨丘帆, 黄煜彬, 石梦璇, 等. 基于一致性算法的直流微电网多组光储单元分布式控制方法[J]. 中国电机工程学报, 2020, 40(12): 3919-3928.
	YANG Qiufan, HUANG Yubin, SHI Mengxuan, et al. Consensus based distributed control for multiple PV-battery storage units in DC microgrid[J]. Proceedings of the CSEE, 2020, 40(12): 3919-3928.
[12]	米阳, 纪宏澎, 何星瑭, 等. 多储能独立直流微电网自适应分级协调控制[J]. 中国电机工程学报, 2018, 38(7): 1980-1989.
	MI Yang, JI Hongpeng, HE Xingtang, et al. Adaptive hierarchical coordinated control of multi-energy storage in isolated DC microgrid[J]. Proceedings of the CSEE, 2018, 38(7): 1980-1989.
[13]	MOHIUDDIN S M, QI J J. Droop-free distributed control for AC microgrids with precisely regulated voltage variance and admissible voltage profile guarantees[J]. IEEE Transactions on Smart Grid, 2020, 11(3): 1956-1967.
[14]	WANG Z G, WU W C, ZHANG B M. A distributed quasi-Newton method for droop-free primary frequency control in autonomous microgrids[J]. IEEE Transactions on Smart Grid, 2018, 9(3): 2214-2223.
[15]	TU S Y, SAYED A H. Diffusion strategies outperform consensus strategies for distributed estimation over adaptive networks[J]. IEEE Transactions on Signal Processing, 2012, 60(12): 6217-6234.
[16]	CATTIVELLI F S, SAYED A H. Diffusion LMS strategies for distributed estimation[J]. IEEE Transactions on Signal Processing, 2010, 58(3): 1035-1048.
[17]	米阳, 王鹏, 邓锦, 等. 孤岛交直流混合微电网群分层协调控制[J]. 电力系统保护与控制, 2021, 49(20): 1-8.
	MI Yang, WANG Peng, DENG Jin, et al. Hierarchical coordinated control of isolated island AC/DC hybrid micro electric network group[J]. Power System Protection & Control, 2021, 49 (20): 1-8.
[18]	周建宇, 闫林芳, 刘巨, 等. 基于一致性理论的直流微电网混合储能协同控制策略[J]. 中国电机工程学报, 2018, 38(23): 6837-6846.
	ZHOU Jianyu, YAN Linfang, LIU Ju, et al. A cooperative control strategy for DC microgrid based on consensus algorithm[J]. Proceedings of the CSEE, 2018, 38(23): 6837-6846.
[19]	吕振宇, 苏晨, 吴在军, 等. 孤岛型微电网分布式二次调节策略及通信拓扑优化[J]. 电工技术学报, 2017, 32(6): 209-219.
	LÜ Zhenyu, SU Chen, WU Zaijun, et al. Distributed secondary control strategy and its communication topology optimization for islanded microgrid[J]. Transactions of China Electrotechnical Society, 2017, 32(6): 209-219.

参数	符号	数值	参数	符号	数值
电压补偿PI	k_Pv	0.01	线路阻抗/Ω	R_line2	0.5
电压补偿PI	k_Iv	0.005	线路阻抗/Ω	R_line3	0.3
功率分配PI	k_PP	2	ESU1容量/(A·h)	C₁	150
功率分配PI	k_IP	10	ESU2容量/(A·h)	C₂	100
线路阻抗/Ω	R_line1	0.1	ESU3容量/(A·h)	C₃	50

基于扩散算法的无下垂分布式储能控制

Droop-Free Distributed Energy Storage Control Based on Diffusion Algorithm

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 12

参考文献 19

相关文章 3

编辑推荐

Metrics

本文评价

[1]	周儒畅, 王子强, 王杰. 基于预定时间一致性的直流微电网分布式协同控制[J]. 上海交通大学学报, 2023, 57(7): 824-834.
[2]	彭浩，张旭，邓志光，蒋维，刘明明，章雨，刘国海. 分布式控制系统虚拟化移植方法的设计与验证[J]. 上海交通大学学报, 2019, 53(Sup.1): 118-122.
[3]	何玉鹏，姜静，孙勇，徐世豪，郑国敏，牟叶威. 堆外核测系统常见噪声干扰分析与抑制[J]. 上海交通大学学报, 2019, 53(Sup.1): 7-11.