基于电池状态的储能电站集群调度策略

茆书睿; 李熹宁

doi:10.19912/j.0254-0096.tynxb.2022-1625

PDF(1890 KB)

太阳能学报 ›› 2023, Vol. 44 ›› Issue (8) : 54-61. DOI: 10.19912/j.0254-0096.tynxb.2022-1625

基于电池状态的储能电站集群调度策略

茆书睿¹, 李熹宁²

作者信息 +

CLUSTER DISPATCH STRATEGY FOR ENERGY STORAGE POWER STATION BASED ON BATTERY STATE

Mao Shurui¹, Li Xining²

Author information +

文章历史 +

摘要

电化学储能的规模化集群应用是落实“双碳”政策的保障。为实现储能电站集群的高效安全运行,提出一种基于电池状态的储能电站集群双层调度策略。首先,介绍储能电站集群物理结构和通讯架构。其次,建立以荷电状态（SOC）均衡为目标的优化模型,该模型同时考虑了储能单元的电池健康状态（SOH）。最后,通过江苏镇江储能电站集群的算例分析验证所提控制策略的有效性。

Abstract

Electrochemical energy storage cluster application is a strong support for achieving carbon peak and carbon neutral. In order to realize the safe and efficient operation of energy storage station power cluster, a dispatch strategy of battery energy storage station cluster （BESSC） based on battery state is proposed in this paper. Firstly, the physical structure and communication architecture of the BESSC are introduced. Then, an optimization model aiming at state-of-charge （SOC） equalization is established, considering the state-of-health （SOH） of the battery. Finally, the effectiveness of the proposed control strategy is verified by a numerical example analysis of Zhenjiang, Jiangsu BESSC under SOH difference and SOC estimation error.

导出引用

茆书睿, 李熹宁. 基于电池状态的储能电站集群调度策略[J]. 太阳能学报. 2023, 44(8): 54-61 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1625

Mao Shurui, Li Xining. CLUSTER DISPATCH STRATEGY FOR ENERGY STORAGE POWER STATION BASED ON BATTERY STATE[J]. Acta Energiae Solaris Sinica. 2023, 44(8): 54-61 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1625

中图分类号： TK513.5

参考文献

[1] 李相俊, 王上行, 惠东. 电池储能系统运行控制与应用方法综述及展望[J]. 电网技术, 2017, 41(10): 3315-3325.
LI X J, WANG S X,HUI D.Summary and prospect of operation control and application method for battery energy storage systems[J]. Power system technology, 2017, 41(10): 3315-3325.
[2] 舒印彪, 张智刚, 郭剑波, 等. 新能源消纳关键因素分析及解决措施研究[J]. 中国电机工程学报, 2017, 37(1): 1-9.
SHU Y B, ZHANG Z G, GUO J B, et al.Study on key factors and solution of renewable energy accommodation[J]. Proceedings of the CSEE, 2017, 37(1): 1-9.
[3] 娄素华, 吴耀武, 崔艳昭, 等. 电池储能平抑短期风电功率波动运行策略[J]. 电力系统自动化, 2014, 38(2): 17-22.
LOU S H, WU Y W, CUI Y Z, et al.Battery energy storage calms short-term wind electric power fluctuation operation strategy[J]. Automation of electric power systems, 2014, 38(2): 17-22.
[4] 李欣然, 黄际元, 陈远扬, 等. 大规模储能电源参与电网调频研究综述[J]. 电力系统保护与控制, 2016, 44(7): 145-153.
LI X R, HUANG J Y, CHEN Y Y, et al.Review on large-scale involvement of energy storage in power grid fast frequency regulation[J]. Power system protection and control, 2016, 44(7): 145-153.
[5] 余洋, 陈东阳, 吴玉威, 等. 风电波动平抑下考虑SOC均衡及收益的电池储能功率分配策略[J]. 高电压技术, 2023, 49(4): 1714-1723.
YU Y, CHEN D, WU Y W, et al.Power allocation strategy considering SOC balance and income for battery energy storage in smoothing wind power fluctuations[J]. High voltage engineering, 2023, 49(4): 1714-1723.
[6] 单茂华, 李陈龙, 梁廷婷, 等. 用于平滑可再生能源出力波动的电池储能系统优化控制策略[J]. 电网技术, 2014, 38(2): 469-477.
SHAN M H, LI C L, LIANG T T, MAO W J, et al.A real-time optimal control strategy for battery energy storage system to smooth active output fluctuation of renewable energy sources[J]. Power system technology, 2014, 38(2): 469-477.
[7] 李建林, 屈树慷, 马速良, 等. 电池储能系统辅助电网调频控制策略研究[J]. 太阳能学报, 2023, 44(3): 326-335.
LI J L, QU S K, MA S L, et al.Research on frequency modulation control strategy of auxiliary power grid in battery energy storage system[J]. Acta energiae solaris sinica, 2023, 44(3): 326-335.
[8] 李建林, 王上行, 袁晓冬, 等. 江苏电网侧电池储能电站建设运行的启示[J]. 电力系统自动化, 2018, 42(21): 1-9, 103.
LIU Y, LIU Y, XU L X.High-performance back propagation neural network algorithm for classification of mass load data[J]. Automation of electric power systems, 2018, 42(21): 1-9, 103.
[9] 陈浩, 石辉, 周过海. 湖南分布式储能电站集中控制可行性分析[J]. 湖南电力, 2021, 41(5): 97-100.
CHEN H, SHI H, ZHOU G H.Feasibility analysis of group control for distributed energy storage power stations in Hunan[J]. Hunan electric power, 2021, 41(5): 97-100.
[10] 薛峰, 常康, 汪宁渤.大规模间歇式能源发电并网集群协调控制框架[J]. 电力系统自动化, 2011, 35(22): 45-53.
XUE F, CHANG K, WANG N B.Coordinated control frame of large-scale intermittent power plant cluster[J]. Automation of electric power systems, 2011, 35(22): 45-53.
[11] 李碧辉, 申洪, 汤涌, 等. 风光储联合发电系统储能容量对有功功率的影响及评价指标[J]. 电网技术, 2011, 35(4): 123-128.
LI B H, SHEN H, TANG Y, et al.Impacts of energy storage capacity configuration of HPWS to active power characteristics and its relevant indices[J]. Power system technology, 2011, 35(4): 123-128.
[12] 程时杰, 李刚, 孙海顺, 等. 储能技术在电气工程领域中的应用与展望[J]. 电网与清洁能源, 2009, 25(2): 1-8.
CHENG S J, LI G, SUN H S, et al.Application and prospect of energy storage in electrical engineering[J]. Power system and clean energy, 2009, 25(2): 1-8.
[13] 刘泽槐, 翟世涛, 张勇军, 等. 基于扩展QV节点潮流的光储联合日前计划[J]. 电网技术, 2015, 39(12): 3435-3441.
LIU Z H, ZHAI S T, ZHANG Y J, et al.A joint day-ahead scheduling for photovoltaic-storage systems based on extended QV bus-type power flow[J]. Power system technology, 2015, 39(12): 3435-3441.
[14] 刘耿峰, 张向文. 动力电池管理系统设计及SOC实时在线估计方法[J]. 电源技术, 2022, 46(3): 329-334.
LIU G F, ZHANG X W.Design of power battery management system and real-time SOC online estimation method[J]. Chinese journal of power sources, 2022, 46(3): 329-334.
[15] 杨玉青, 牛利勇, 田立亭, 等. 考虑负荷优化控制的区域配电网储能配置[J]. 电网技术, 2015, 39(4): 1019-1025.
YANG Y Q, NIU L Y, TIAN L T, et al.Configuration of energy storage devices in regional distribution network considering optimal load control[J]. Power system technology, 2015, 39(4): 1019-1025.
[16] 李军徽, 侯涛, 严干贵, 等. 计及调频成本和荷电状态恢复的多储能系统调频功率双层优化[J]. 中国电机工程学报, 2021, 41(23): 8020-8033.
LI J H, HOU T, YAN G G, et al.Two-layer optimization of frequency modulation power in multi-battery energy storage system considering frequency modulation cost and recovery of state of charge[J]. Proceedings of the CSEE, 2021, 41(23): 8020-8033.
[17] 胡泽春, 夏睿, 吴林林, 等. 考虑储能参与调频的风储联合运行优化策略[J]. 电网技术, 2016, 40(8): 2251-2257.
HU Z C, XIA R, WU L L, et al.Joint operation optimization of wind-storage union with energy storage participating frequency regulation[J]. Power system technology, 2016, 40(8): 2251-2257.
[18] 邵丽华, 章竹耀, 张春龙, 等. 储能电池荷电状态与平抑风电出力波动协调运行策略[J]. 电力建设, 2017, 38(1): 84-88.
SHAO L H, ZHANG Z Y, ZHANG C L, et al.Coordi-nated operation strategy of storage battery SOC and smoothing wind power fluctuation[J]. Electric power construction, 2017, 38(1): 84-88.