Power Distribution Strategy of Multi-functional Energy Storage Power Station in Wind Farm

doi:10.11930/j.issn.1004-9649.202308036

Abstract

Abstract:

With the increase in the proportion of new energy installed capacity, the modulation capacity of new energy stations such as frequency modulation and voltage modulation has been paid more and more attention. In view of the problems of primary frequency modulation, power smoothing, and coordinated control of voltage modulation for new energy stations equipped with energy storage, this paper used a clustering algorithm to obtain the energy storage to suppress fluctuating power requirements and set the standby power of frequency modulation for wind storage and voltage modulation for energy storage stations. Secondly, the residual active power for energy storage and the state of charge (SOC) were used to correct the active power of primary frequency modulation for energy storage. Then, based on the reactive power margin for energy storage and the emergency degree of voltage deviation, the reactive power-voltage sag coefficient was modified. Finally, to ensure the frequency modulation effect, the multi-function coordinated operation strategy of energy storage was proposed, involving fluctuation suppression by energy storage, primary frequency modulation, and voltage modulation. Based on Matlab/Simulink, simulation verification was carried out, and the simulation conditions of fluctuation suppression by energy storage and primary frequency modulation, fluctuation suppression by energy storage and voltage modulation, as well as the coordinated operation of the three functions were analyzed, respectively. The results show that the multi-function coordinated operation strategy proposed in this paper can promote the grid frequency, voltage, and SOC recovery under the condition of fluctuation suppression of wind power by energy storage.

Key words: energy storage power station, primary frequency modulation, fluctuation suppression, voltage modulation, Logistic

Gangling TIAN, Hongxin WU, Juan LI, Liuli ZHANG, Jia XIE, Aikui LI. Power Distribution Strategy of Multi-functional Energy Storage Power Station in Wind Farm[J]. Electric Power, 2024, 57(9): 247-256.

Add to citation manager EndNote|Ris|BibTeX

URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202308036

https://www.electricpower.com.cn/EN/Y2024/V57/I9/247

Figures/Tables 9

Fig.1 Operation mode of fluctuation suppression by energy storage considering frequency modulation and voltage modulation

Fig.2 Optimization of reactive power-voltage sag coefficient of energy storage based on fuzzy control

Table 1 Fuzzy rule

	LS	MS	SM
SG	MS	L	VL
MG	VS	S	ML
LG	MS	L	VL

Fig.3 Overall control flow chart of multi-function coordinated operation

Fig.4 Grid-connected simulation topology of wind storage system

Fig.5 Comparison of grid frequency, SOC, and primary frequency modulation power under step disturbance

Fig.6 Comparison of PCC point voltage and reactive power under step disturbance

Fig.7 Comparison of grid frequency, SOC, and voltage under random disturbance

Table 2 Evaluation indexes for frequency modulation/voltage modulation effect

方法	$ {f_{{\text{rmc}}}} $	$ S_{ {\text{OCrms}}} $	$ {U_{{\text{rms}}}} $
风储不调频/调压	0.0681		0.0411
定K法一次调频与传统无功下垂控制	0.0492	0.1590	0.0321
多功能协调控制	0.0466	0.1587	0.0264

References 20

1	李建林, 郭兆东, 马速良, 等. 新型电力系统下“源网荷储” 架构与评估体系综述[J]. 高电压技术, 2022, 48 (11): 4330- 4342.
	LI Jianlin, GUO Zhaodong, MA Suliang, et al. Overview of the ‘‘Source-grid-load-storage'' architecture and evaluation system under the new power system[J]. High Voltage Engineering, 2022, 48 (11): 4330- 4342.
2	黄杨, 胡伟, 闵勇, 等. 考虑日前计划的风储联合系统多目标协调调度[J]. 中国电机工程学报, 2014, 34 (28): 4743- 4751.
	HUANG Yang, HU Wei, MIN Yong, et al. Multi-objective coordinative dispatch for wind-storage combined systems considering day-ahead generation schedules[J]. Proceedings of the CSEE, 2014, 34 (28): 4743- 4751.
3	MORENO R, MOREIRA R, STRBAC G. A MILP model for optimising multi-service portfolios of distributed energy storage[J]. Applied Energy, 2015, 137, 554- 566. DOI
4	宋天昊, 李柯江, 韩肖清, 等. 储能系统参与多应用场景的协同运行策略[J]. 电力系统自动化, 2021, 45 (19): 43- 51.
	SONG Tianhao, LI Kejiang, HAN Xiaoqing, et al. Coordinated operation strategy of energy storage system participating in multiple application scenarios[J]. Automation of Electric Power Systems, 2021, 45 (19): 43- 51.
5	殷高文, 沈非凡, 黄晟, 等. 面向电力市场多时间尺度场景应用的风储系统调度方法[J/OL]. 上海交通大学学报: 1–18[2023-03-22]. https://doi.org/10.16183/j.cnki.jsjtu.2022.493.
	YIN Gaowen, SHEN Feifan, HUANG Sheng, et al. Scheduling method of wind storage System for multi-time scale scenarios in power market [J/OL]. Journal of Shanghai Jiao Tong University : 1–18[2023-03-22]. https://doi.org/10.16183/j.cnki.jsjtu.2022.493.
6	陆秋瑜, 胡伟, 闵勇, 等. 考虑时间相关性的风储系统多模式协调优化策略[J]. 电力系统自动化, 2015, 39 (2): 6- 12.
	LU Qiuyu, HU Wei, MIN Yong, et al. A multi-pattern coordinated optimization strategy of wind power and energy storage system considering tem-poral dependence[J]. Automation of Electric Power Systems, 2015, 39 (2): 6- 12.
7	曾伟, 熊俊杰, 李建林, 等. 基于权重自适应鲸鱼优化算法的多能系统储能电站最优配置[J]. 储能科学与技术, 2022, 11 (7): 2241- 2249.
	ZENG Wei, XIONG Junjie, LI Jianlin, et al. Optimal configuration of energy storage power station in multi-energy system based on weight adaptive whale optimization algorithm[J]. Energy Storage Science and Technology, 2022, 11 (7): 2241- 2249.
8	马兰, 谢丽蓉, 叶林, 等. 多目标多工况双储能协同运行策略[J]. 电力系统自动化, 2021, 45 (20): 38- 48.
	MA Lan, XIE Lirong, YE Lin, et al. Cooperative operation strategy of dual energy storage under multiple objectives and multiple operation conditions[J]. Automation of Electric Power Systems, 2021, 45 (20): 38- 48.
9	郭凯杰, 耿光超, 江全元, 等. 计及超短期预测误差的风储系统跟踪计划出力控制策略[J]. 太阳能学报, 2023, 44 (2): 326- 333.
	GUO Kaijie, GENG Guangchao, JIANG Quanyuan, et al. Output control strategy of wind storage system tracking plan considering ultra short term prediction error[J]. Acta Energiae Solaris Sinica, 2023, 44 (2): 326- 333.
10	王腾, 张新燕, 何星柱, 等. 风储系统风电功率平抑与故障穿越的新型复合功率控制策略[J]. 现代电力, 2023, 40 (6): 863- 871.
	WANG Teng, ZHANG Xinyan, HE Xingzhu, et al. A new composite power control strategy for wind power stabilization and fault ride-through of wind storage system[J]. Modern Electric Power, 2023, 40 (6): 863- 871.
11	李军徽, 侯涛, 穆钢, 等. 电力市场环境下考虑风电调度和调频极限的储能优化控制[J]. 电工技术学报, 2021, 36 (9): 1791- 1804.
	LI Junhui, HOU Tao, MU Gang, et al. Optimal con-trol strategy for energy storage considering wind farm scheduling plan and modulation frequency limitation under electricity market environment[J]. Transactions of China Electrotechnical Society, 2021, 36 (9): 1791- 1804.
12	PEREZ A, MORENO R, MOREIRA R, et al. Effect of battery degradation on multi-service portfolios of energy storage[J]. IEEE Transactions on Sustainable Energy, 2016, 7 (4): 1718- 1729. DOI
13	武鸿鑫, 李爱魁, 董存, 等. 计及调频备用的储能平抑风电功率波动控制策略[J]. 储能科学与技术, 2023, 12 (4): 1194- 1203.
	WU Hongxin, LI Aikui, DONG Cun, et al. Control strategy for wind power fluctuation stabilization with energy storage and frequency modulation reserve[J]. Energy Storage Science and Technology, 2023, 12 (4): 1194- 1203.
14	梁恺, 彭晓涛, 秦世耀, 等. 基于协同控制优化风储系统频率响应的策略研究[J]. 中国电机工程学报, 2021, 41 (8): 2628- 2641.
	LIANG Kai, PENG Xiaotao, QIN Shiyao, et al. Study on synergetic control strategy for optimizing frequency response of wind farm augmented with energy storage system[J]. Proceedings of the CSEE, 2021, 41 (8): 2628- 2641.
15	LI C P, ZHANG Z S, LI J H, et al. Design of control strategy and effect evaluation for primary frequency regulation of wind storage system[J]. Frontiers in Energy Research, 2021, 9, 739439. DOI
16	刘中建, 周明, 李昭辉, 等. 高比例新能源电力系统的惯量控制技术与惯量需求评估综述[J]. 电力自动化设备, 2021, 41 (12): 1- 11, 53.
	LIU Zhongjian, ZHOU Ming, LI Zhaohui, et al. Review of inertia control technology and requirement evaluation in renewable-dominant power system[J]. Electric Power Automation Equipment, 2021, 41 (12): 1- 11, 53.
17	国家市场监督管理总局, 国家标准化管理委员会. 虚拟同步机第1部分:总则: GB/T 38983.1—2020[S]. 北京: 中国标准出版社, 2020.
18	李建林, 袁晓冬, 郁正纲, 等. 利用储能系统提升电网电能质量研究综述[J]. 电力系统自动化, 2019, 43 (8): 15- 24.
	LI Jianlin, YUAN Xiaodong, YU Zhenggang, et al. Comments on power quality enhancement research for power grid by energy storage system[J]. Automation of Electric Power Systems, 2019, 43 (8): 15- 24.
19	马智慧, 李欣然, 谭庄熙, 等. 考虑储能调频死区的一次调频控制方法[J]. 电工技术学报, 2019, 34 (10): 2102- 2115.
	MA Zhihui, LI Xinran, TAN Zhuangxi, et al. Inte-grated control of primary frequency regulation con-sidering dead band of energy storage[J]. Transactions of China Electrotechnical Society, 2019, 34 (10): 2102- 2115.
20	张冠锋, 杨俊友, 王海鑫, 等. 基于虚拟同步机技术的风储系统协调调频控制策略[J]. 电工技术学报, 2022, 37 (S1): 83- 92.
	ZHANG Guanfeng, YANG Junyou, WANG Haixin, et al. Coordinated frequency modulation control strategy of wind farm-storage system based on virtual synchronous generator technology[J]. Transactions of China Electrotechnical Society, 2022, 37 (S1): 83- 92.

[1]	Hang LIU, Hao SHEN, Yong YANG, Ling JI, Yang YU. Load Forecast of Electric Trucks Aggregation Based on Higher-order Markov Chains [J]. Electric Power, 2024, 57(5): 61-69.
[2]	CHEN Juan, HUI Dong, FAN Maosong, HU Juan, CHU Yongjin. Massive Data Processing Method for Battery Energy Storage Power Stations Based on Rough Sets [J]. Electric Power, 2022, 55(2): 44-50,208.
[3]	ZHANG Jiacheng, XIA Xiangyang, DENG Zihao, CHEN Guiquan. Optimal Control Strategy for Energy Storage Power Station in Primary Frequency Regulation of Power Grid [J]. Electric Power, 2022, 55(2): 19-27.
[4]	ZHAO Bin, LIANG Gao, JIANG Menghao, WANG Li, KONG Qin, WANG Bingqiang. Design and Operation of Grid-Connected Photovoltaic Energy Storage Power Station in Frigid Plateau Region [J]. Electric Power, 2022, 55(12): 51-60.
[5]	FANG Risheng, LIN Yaodong, JIANG Wei, HUANG Ting, XU Zhenhua, WU Danyue, CHEN Zhi, SU Yi, LIN Jikeng. Design Method for the Governor Power System Stabilizer [J]. Electric Power, 2021, 54(9): 74-82.
[6]	BAI Zhonghua, LI Qiang, CHEN Jing, YUAN Fusheng, XU Wenbo, SUN Fengchang, YU Zongze. Operation Strategy Optimization of Energy Storage Power Station in Multi-Station Integration Scenario [J]. Electric Power, 2021, 54(6): 136-144.
[7]	ZHANG Xu, XU Yonghai, LIU Ziteng, JIANG Haiwei, TAO Shun. A Method for Assessing Harmonic Emission Level of Photovoltaic Access Point Considering System-Side Harmonic Voltage Fluctuations [J]. Electric Power, 2021, 54(3): 109-116.
[8]	ZHANG Bao, DING Yangjun, GU Zhenghao, YING Guangyao, FAN Yinlong. Optimization on the Control Mode of Thermal Power Unit to Suppress Low Frequency Oscillation of Power System [J]. Electric Power, 2020, 53(2): 137-141,149.
[9]	CHEN Shunqing, YAN Jianping, ZHANG Yusheng. Study and Application on Primary Frequency Modulation Capability by Using Comprehensive Energy Storage of a 660 MW Water Heat and Power Cogeneration Supercritical Unit [J]. Electric Power, 2020, 53(1): 177-184.
[10]	ZHU Jianfei, SHEN Congqi, YAO Jun, MA Jianhua, GUI Yishu, YU Haiyun. New Primary Frequency Regulation Technologies for Steam Turbines under Economical Operation Mode [J]. Electric Power, 2017, 50(5): 144-150.
[11]	YANG Taihua, CHEN Yin. Saturated Electricity Demand Forecast Based on Amended Self-Adaptive Logistic Model [J]. Electric Power, 2017, 50(5): 114-120.
[12]	TIAN Jun, WU Tianming, XIE Guoqiang, WANG Junxiang, LI Mingjun, LI Bo. Digital & Analog Electro-Hydraulic Control System in Isolated Grid [J]. Electric Power, 2015, 48(4): 147-150.
[13]	GAN Siqi, KONG Lingguo, CAI Guowei, HU Xiangnan. Research on System Modeling and Grid Connection Characteristics of Large-scale PV-ES Hybrid Power System [J]. Electric Power, 2015, 48(3): 116-121.
[14]	ZHAO Huiru, ZHOU Jia, LI Nana, HAN Xinyang, HUO Huijuan, XUE Wanlei. Study on Urban Saturated Power Load Forecasting based on Rolling Multi-dimension Method [J]. Electric Power, 2015, 48(3): 21-26.