Coordinated control strategy for multi-type energy storage participating in power system frequency regulation

doi:10.11930/j.issn.1004-9649.202509060

Abstract

Abstract:

A synergistic control strategy is proposed considering the participation of multiple types of energy storage in the power system frequency regulation to address the issue of low-inertia system's difficulty in coping with the frequency fluctuations caused by the high proportion of new energy access. Firstly, the frequency change rate signal is processed by a low-pass filter to realize the coordinated control of electrochemical and flywheel energy storage. Then, combined with the coordinated control model of multi-type energy storage, the fluctuation of new energy output and the lagging response characteristics of traditional thermal power units, the system frequency response (SFR) model is established. Next, a control strategy model for energy storage system participating in the secondary frequency adjustment is constructed, and differentiated charging and discharging strategies are formulated to balance the immediate and long-term regulation needs. Finally, verification is conducted on the simulation platform, and the proposed strategy can improve the transient recovery speed of the system frequency by 44.3%, which helps to enhance the frequency stability of the power system.

Key words: electrochemical energy storage, flywheel energy storage, energy storage coordination control

LIU Jiayu, LIANG Xiaobin, HUANG Xifang, ZENG Xingxing, WANG Yu, CAO Yang. Coordinated control strategy for multi-type energy storage participating in power system frequency regulation[J]. Electric Power, 2026, 59(1): 124-132.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202509060

https://www.electricpower.com.cn/EN/Y2026/V59/I1/124

Figures/Tables 12

Fig.1 Electrochemical energy storage-based frequency response model

Fig.2 Frequency response model of flywheel energy storage

Fig.3 Coordinated control strategies for energy storage

Fig.4 Frequency response model of power systems with multi-type energy storage

Fig.5 Wind power original power curve

Fig.6 Wind power deviation low frequency component curve

Fig.7 Wind power deviation high frequency component curve

Fig.8 Comparative analysis of energy storage coordinated control

Fig.9 Frequency adjustment results under three strategies

Table 1 Frequency adjustment results under different strategies

策略	频率偏差最大值/Hz	到达频率偏差最大值点所需时间/s
1	–0.118	0.42
2	–0.215	0.46
3	–0.217	0.41

Fig.10 Strategies 1 and 2: Variations in Energy Storage State of Charge

Fig.11 Strategies 1 and 3: Variations in Energy Storage State of Charge

References 36

1	李健, 张钧, 韩新阳, 等. 新型电力系统形态量化推演方法的总体框架与功能设计[J]. 中国电力, 2025, 58 (3): 1- 7, 97.
	LI Jian, ZHANG Jun, HAN Xinyang, et al. Overall framework and function design of quantified gaming method for new power system forms[J]. Electric Power, 2025, 58 (3): 1- 7, 97.
2	张宸宇, 喻建瑜, 史明明, 等. 基于构网型储能的新能源微电网电压动态控制性能分析与优化[J]. 中国电力, 2025, 58 (9): 115- 123.
	ZHANG Chenyu, YU Jianyu, SHI Mingming, et al. Analysis and optimization of voltage dynamic control performance of renewable energy microgrid based on grid-forming energy storage[J]. Electric Power, 2025, 58 (9): 115- 123.
3	周洋, 黄德志, 李培栋, 等. 考虑平衡端点相位不对称及光伏接入的低压配电网三相潮流模型[J]. 中国电力, 2024, 57 (10): 190- 198.
	ZHOU Yang, HUANG Dezhi, LI Peidong, et al. A three-phase power flow model for low-voltage distribution networks considering balanced bus phase asymmetry and photovoltaic access[J]. Electric Power, 2024, 57 (10): 190- 198.
4	梁梓杨, 吴洋, 雷振兴, 等. 考虑光伏不确定性和配电网安全校核的分布式能源聚合商参与市场竞标的优化方法[J]. 广东电力, 2024, 37 (12): 138- 146.
	LIANG Ziyang, WU Yang, LEI Zhenxing, et al. An optimization method for distributed energy resource aggregators to participate in electricity market bidding considering PV uncertainty and distribution network security check[J]. Guangdong Electric Power, 2024, 37 (12): 138- 146.
5	裴瑞琳, 李志野, 李雨笑, 等. “双碳”背景下新能源汽车电机用软磁材料发展趋势与应用现状[J]. 沈阳工业大学学报, 2024, 46 (5): 590- 604.
	PEI Ruilin, LI Zhiye, LI Yuxiao, et al. Development trends and application status of soft magnetic materials for electric vehicle motors under carbon peaking and carbon neutrality[J]. Journal of Shenyang University of Technology, 2024, 46 (5): 590- 604.
6	李鑫, 庞超, 王智爽. 基于成长型CART的综合能源系统安全调度方法研究[J]. 传感器与微系统, 2025, 44 (2): 53- 56.
	LI Xin, PANG Chao, WANG Zhishuang. Research on safety scheduling method of integrated energy system based on growth CART[J]. Transducer and Microsystem Technologies, 2025, 44 (2): 53- 56.
7	王要尊, 薛小军. 基于超级电容的电网一次调频快速响应机制探讨[J]. 电力设备管理, 2025 (3): 154- 156.
	WANG Yaozun, XUE Xiaojun. Exploration of rapid response mechanism for primary frequency regulation of power grid based on supercapacitors[J]. Electric Power Equipment Management, 2025 (3): 154- 156.
8	朱彦祥, 蔺红. 基于超级电容的直驱风电机组一次调频策略[J]. 电气传动, 2024, 54 (12): 25- 32.
	ZHU Yanxiang, LIN Hong. Primary frequency modulation strategy of direct-driven wind turbine based on super capacitor[J]. Electric Drive, 2024, 54 (12): 25- 32.
9	许庆祥, 滕伟, 秦润, 等. 电网调频飞轮储能系统并网能量管理与控制策略[J]. 储能科学与技术, 2025, 14 (5): 2013- 2022.
	XU Qingxiang, TENG Wei, QIN Run, et al. Energy management and control strategy for grid-connected frequency regulation flywheel energy storage systems[J]. Energy Storage Science and Technology, 2025, 14 (5): 2013- 2022.
10	刘禹彤, 程孟增, 张明理, 等. 基于多重混合博弈的云储能市场优化运行策略[J]. 沈阳工业大学学报, 2024, 46 (3): 270- 276.
	LIU Yutong, CHENG Mengzeng, ZHANG Mingli, et al. Optimal operation strategy for cloud energy storage market based on multiple mixed games[J]. Journal of Shenyang University of Technology, 2024, 46 (3): 270- 276.
11	周丹, 袁至, 李骥, 等. 考虑平抑未来时刻风电波动的混合储能系统超前模糊控制策略[J]. 发电技术, 2024, 45 (3): 412- 422.
	ZHOU Dan, YUAN Zhi, LI Ji, et al. An advanced fuzzy control strategy for hybrid energy storage systems considering smoothing of wind power fluctuations at future moments[J]. Power Generation Technology, 2024, 45 (3): 412- 422.
12	罗凡, 李建锦, 余向前, 等. 基于能源区块链网络的微电网共享储能调度模型[J]. 沈阳工业大学学报, 2023, 45 (6): 625- 630.
	LUO Fan, LI Jianjin, YU Xiangqian, et al. Shared energy storage and scheduling model of microgrid based on energy blockchain network[J]. Journal of Shenyang University of Technology, 2023, 45 (6): 625- 630.
13	薛易, 宋鹏举, 郭华. 混合储能系统平抑风电波动的VSG控制策略[J]. 黑龙江电力, 2025, 47 (4): 283- 290.
	XUE Yi, SONG Pengju, GUO Hua. VSG control strategy for hybrid energy storage system to stabilize wind power fluctuations[J]. Heilongjiang Electric Power, 2025, 47 (4): 283- 290.
14	严晓生, 刘仲稳, 赵建红, 等. 混合储能辅助火电机组一次调频及其容量配置[J]. 太阳能学报, 2024, 45 (11): 647- 654.
	YAN Xiaosheng, LIU Zhongwen, ZHAO Jianhong, et al. Primary frequency regulation and capacity configuration of hybrid energy storage auxiliary thermal power unit[J]. Acta Energiae Solaris Sinica, 2024, 45 (11): 647- 654.
15	付文豪, 张继红, 谢波, 等. 混合储能参与风力发电场的调频控制策略研究[J]. 电工技术, 2023 (22): 82- 86, 96.
	FU Wenhao, ZHANG Jihong, XIE Bo, et al. Control strategy of wind farm frequency regulation with hybrid energy storage[J]. Electric Engineering, 2023 (22): 82- 86, 96.
16	胡英杰, 李强, 李群. 考虑容量限制的构网型光储系统惯量与一次调频参数优化配置方法[J]. 中国电力, 2024, 57 (10): 115- 122.
	HU Yingjie, LI Qiang, LI Qun. Co-optimization of inertia and droop control coefficient for grid-forming photovoltaic-storage system considering capacity limits[J]. Electric Power, 2024, 57 (10): 115- 122.
17	周涛, 向永建, 杜可可, 等. 风机与储能参与电网调频协调控制技术综述[J]. 浙江电力, 2024, 43 (7): 45- 55.
	ZHOU Tao, XIANG Yongjian, DU Keke, et al. An overview of a coordinated control technique for wind turbines and energy storage participating grid frequency regulation[J]. Zhejiang Electric Power, 2024, 43 (7): 45- 55.
18	丁杨, 唐培全, 张文奎, 等. 考虑涉网一次调频考核要求面向风储联合系统收益优化的储能容量配置[J]. 山东电力技术, 2025, 52 (2): 46- 54.
	DING Yang, TANG Peiquan, ZHANG Wenkui, et al. Optimal allocation of energy storage for profit optimization in wind-storage systems considering primary frequency regulation examinations[J]. Shandong Electric Power, 2025, 52 (2): 46- 54.
19	于琳琳, 陈姝彧, 张凯南, 等. 考虑最低惯量需求的受端电网储能规划研究[J]. 电网与清洁能源, 2024, 40 (10): 149- 158.
	YU Linlin, CHEN Shuyu, ZHANG Kainan, et al. Research on the energy storage planning of the receiving-end power grid considering minimum inertia requirement[J]. Advances of Power System & Hydroelectric Engineering, 2024, 40 (10): 149- 158.
20	季湛洋, 胡阳, 孔令行, 等. 考虑多领域耦合特性的风电机组一次调频动态建模与仿真[J]. 中国电力, 2025, 58 (4): 56- 67.
	JI Zhanyang, HU Yang, KONG (Ling)(HangXing), et al. Dynamic modeling and simulation of wind turbine unit primary frequency regulation considering multi-domain coupling characteristics[J]. Electric Power, 2025, 58 (4): 56- 67.
21	文贤馗, 李博文, 史正军, 等. 飞轮储能系统磁轴承电磁特性与温升特性分析[J]. 储能科学与技术, 2025, 14 (8): 2932- 2941.
	WEN Xiankui, LI Bowen, SHI Zhengjun, et al. Analysis of electromagnetic and thermal characteristics of magnetic bearings in flywheel energy storage systems[J]. Energy Storage Science and Technology, 2025, 14 (8): 2932- 2941.
22	郭江涛, 陈烁, 曾瑞斌, 等. 风电机组惯量响应与一次调频能力研究[J]. 南方能源建设, 2023, 10 (4): 82- 90.
	GUO Jiangtao, CHEN Shuo, ZENG Ruibin, et al. Research for inertia response and primary frequency regulation ability of wind turbine[J]. Southern Energy Construction, 2023, 10 (4): 82- 90.
23	甄文喜, 马喜平, 戴跃洪, 等. 基于中间层控制的风-储自同步调频策略研究[J]. 综合智慧能源, 2025, 47 (8): 21- 29.
	ZHEN Wenxi, MA Xiping, DAI Yuehong, et al. Research on wind-storage self-synchronizing frequency regulation strategy based on intermediate layer control[J]. Integrated Intelligent Energy, 2025, 47 (8): 21- 29.
24	谭玲玲, 张文龙, 康志豪, 等. 计及惯量响应与一次调频参数优化的新能源基地构网型储能规划[J]. 中国电力, 2025, 58 (7): 147- 161.
	TAN Lingling, ZHANG Wenlong, KANG Zhihao, et al. Grid-forming storage planning for renewable energy bases considering the co-optimization of inertia response and primary frequency regulation parameters[J]. Electric Power, 2025, 58 (7): 147- 161.
25	王军, 王恒涛, 纪宇飞, 等. 基于低通滤波的风燃储虚拟电厂容量配置方法[J]. 能源研究与管理, 2025, 17 (1): 173- 178, 186.
	WANG Jun, WANG Hengtao, JI Yufei, et al. Research on capacity allocation of wind-fuel-storage virtual power plant based on low-pass filtering[J]. Energy Research and Management, 2025, 17 (1): 173- 178, 186.
26	王成, 邵冲, 何欣, 等. 基于MOIBKA算法的电化学储能电站最优功率分配[J]. 综合智慧能源, 2025, 47 (6): 74- 84.
	WANG Cheng, SHAO Chong, HE Xin, et al. Optimal power allocation for electrochemical energy storage power stations based on MOIBKA algorithm[J]. Integrated Intelligent Energy, 2025, 47 (6): 74- 84.
27	朱一昕, 黎莞伟, 吴昊, 等. 锂电池储能系统的并网功率控制与SOC均衡策略[J]. 浙江电力, 2025, 44 (3): 90- 99.
	ZHU Yixin, LI Guanwei, WU Hao, et al. Grid connection power control and the SOC balancing strategy for lithium battery energy storage systems[J]. Zhejiang Electric Power, 2025, 44 (3): 90- 99.
28	杨捷, 孙哲, 苏辛一, 等. 考虑振荡型功率的直流微电网储能系统无互联通信网络的多目标功率分配方法[J]. 发电技术, 2024, 45 (2): 341- 352.
	YANG Jie, SUN Zhe, SU Xinyi, et al. A wireless multi-objective power sharing method for energy storage system in DC micro-grid considering oscillatory-type power[J]. Power Generation Technology, 2024, 45 (2): 341- 352.
29	谭洪, 杨彪, 张延旭, 等. 虚拟电厂设计与运营[M]. 北京: 中国电力出版社, 2025.
30	赵峰, 孙超, 寇凌岳, 等. 分布式储能聚合商参与调频市场竞价策略与协调调度研究[J]. 浙江电力, 2025, 44 (3): 30- 41.
	ZHAO Feng, SUN Chao, KOU Lingyue, et al. Research on a bidding strategy and coordinated scheduling of distributed energy storage aggregators in frequency regulation market[J]. Zhejiang Electric Power, 2025, 44 (3): 30- 41.
31	颜石, 谭海洋, 肖华, 等. 基于改进阻性下垂控制的分布式储能系统SOC均衡策略[J]. 湖南电力, 2024, 44 (2): 104- 111.
	YAN Shi, TAN Haiyang, XIAO Hua, et al. SOC balancing strategy for distributed energy storage system based on improved resistive droop control[J]. Hunan Electric Power, 2024, 44 (2): 104- 111.
32	杨彪, 谭洪, 朱建川, 等. 面向电-氢本地能源市场的综合能源系统优化运行模型[J/OL]. 电力系统自动化, 2025: 1–10[2025-12-20]. https://link.cnki.net/urlid/32.1180.TP.20251218.1735.006.
	YANG Biao, TAN Hong, ZHU Jianchuan, et al. Optimization operation model of integrated energy systems for electricity-hydrogen local energy markets[J/OL]. Automation of Electric Power Systems, 2025: 1–10[2025-12-20]. https://link.cnki.net/urlid/32.1180.TP.20251218.1735.006.
33	王轶楠, 卢静, 陈星彤, 等. 考虑多重因素叠加情景的能源清洁低碳转型风险评估[J]. 中国电力, 2024, 57 (3): 183- 189.
	WANG Yinan, LU Jing, CHEN Xingtong, et al. Risk assessment of clean and low-carbon energy transformation considering superimposed scenario of multiple factors[J]. Electric Power, 2024, 57 (3): 183- 189.
34	黄晓燕, 郭洒洒, 陈成优, 等. 考虑时空关联及气象耦合的区域分布式光伏功率预测[J]. 浙江电力, 2025, 44 (3): 79- 89.
	HUANG Xiaoyan, GUO Sasa, CHEN Chengyou, et al. Regional distributed photovoltaic power forecasting considering spatiotemporal cor-relation and meteorological coupling[J]. Zhejiang Electric Power, 2025, 44 (3): 79- 89.
35	刘洋, 刘吉成. 大数据联盟下一种分布式光伏资源共享算法设计[J]. 沈阳工业大学学报, 2024, 46 (1): 109- 114.
	LIU Yang, LIU Jicheng. Design of a distributed photovoltaic resource sharing algorithm under big data alliance[J]. Journal of Shenyang University of Technology, 2024, 46 (1): 109- 114.
36	葛磊蛟, 郑轶文, 李小平, 等. 高比例分布式光伏接入下配电网多类型储能优化配置技术综述[J]. 浙江电力, 2025, 44 (5): 1- 11.
	GE Leijiao, ZHENG Yiwen, LI Xiaoping, et al. A review of optimal allocation technologies for multi-type energy storage in distribu-tion networks with high penetration of DPV[J]. Zhejiang Electric Power, 2025, 44 (5): 1- 11.

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