平抑风电功率波动的飞轮储能系统容量配置方法

doi:10.19799/j.cnki.2095-4239.2022.0408

摘要/Abstract

摘要：

为使风电场有功功率变化满足国家标准中有功功率变化限制的推荐值范围，采用飞轮储能系统平抑风电场有功功率输出。基于低通滤波方法，由飞轮储能系统响应风电场有功功率输出的高频成分，降低并网功率波动对电网一次调频的影响。通过建立不同截止频率和不同飞轮储能系统功率容量下的双层寻优模型，得到满足飞轮储能系统约束条件、风电并网有功功率变化要求和经济性指标的最优化飞轮储能系统容量。建立飞轮储能系统模型，仿真验证飞轮储能系统能够较好地响应功率指令，有效平抑风电功率波动。

关键词: 飞轮储能, 有功功率输出, 低通滤波, 储能系统容量

Abstract:

Here, the flywheel energy storage system is used to stabilize the active power output of wind farms to make the change in active power in the wind farm meet the recommended value range of the active power change limit in the national standard. Based on the low-pass filtering method, the flywheel energy storage system responds to the high-frequency component of the active power output of the wind farm to reduce the impact of grid-connected power fluctuations on the primary frequency modulation of the power grid. A two-level optimization model with different cut-off frequencies and flywheel energy storage system power and capacity is established to obtain the optimal flywheel energy storage system capacity that meets the flywheel energy storage system's constraints and the requirements of wind power grid-connected active power changes and economic indicators. The outer model initializes the cut-off frequency of the frequency divider, obtains the high-frequency power command, and inputs it to the flywheel energy storage system. Conversely, the flywheel responds according to the reference power in the inner model. After connecting with the wind farm's power, the fluctuation degree of the active power of the grid point is verified. Furthermore, the flywheel energy storage system model is established; the simulation results show that the flywheel energy storage system can better respond to the power command and effectively suppress wind power fluctuation.

Key words: flywheel energy storage, active power output, low pass filtering, capacity of energy storage system

中图分类号:

TM 921

许庆祥, 滕伟, 武鑫, 柳亦兵, 梁双印. 平抑风电功率波动的飞轮储能系统容量配置方法[J]. 储能科学与技术, 2022, 11(12): 3906-3914.

Qingxiang XU, Wei TENG, Xin WU, Yibing LIU, Shuangyin LIANG. Capacity configuration method of flywheel storage system for suppressing power fluctuation of wind farms[J]. Energy Storage Science and Technology, 2022, 11(12): 3906-3914.

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参考文献 21

1	陈旭, 张勇军, 黄向敏. 主动配电网背景下无功电压控制方法综述[J]. 电力系统自动化, 2016, 40(1): 143-151.
	CHEN X, ZHANG Y J, HUANG X M. Review of reactive power and voltage control method in the background of active distribution network[J]. Automation of Electric Power Systems, 2016, 40(1): 143-151.
2	鲁宗相, 李海波, 乔颖. 高比例可再生能源并网的电力系统灵活性评价与平衡机理[J]. 中国电机工程学报, 2017, 37(1): 9-20.
	LU Z X, LI H B, QIAO Y. Flexibility evaluation and supply/demand balance principle of power system with high-penetration renewable electricity[J]. Proceedings of the CSEE, 2017, 37(1): 9-20.
3	薛禹胜, 雷兴, 薛峰, 等. 关于风电不确定性对电力系统影响的评述[J]. 中国电机工程学报, 2014, 34(29): 5029-5040.
	XUE Y S, LEI X, XUE F, et al. A review on impacts of wind power uncertainties on power systems[J]. Proceedings of the CSEE, 2014, 34(29): 5029-5040.
4	田书欣, 程浩忠, 曾平良, 等. 大型集群风电接入输电系统规划研究综述[J]. 中国电机工程学报, 2014, 34(10): 1566-1574.
	TIAN S X, CHENG H Z, ZENG P L, et al. Review of transmission planning for integrating large clusters of wind power[J]. Proceedings of the CSEE, 2014, 34(10): 1566-1574.
5	国家市场监督管理总局, 国家标准化管理委员会. 风电场接入电力系统技术规定第1部分:陆上风电: GB/T 19963.1—2021[S]. 北京: 中国标准出版社, 2021.State Administration for Market Regulation, Standardization Administration of the People's Republic of China. Technical specification for connecting wind farm to power system—Part 1: On shore wind power: GB/T 19963.1—2021[S]. Beijing: Standards Press of China, 2021.
6	HAMZAOUI I, BOUCHAFAA F, TALHA A. Advanced control for wind energy conversion systems with flywheel storage dedicated to improving the quality of energy[J]. International Journal of Hydrogen Energy, 2016, 41(45): 20832-20846.
7	ADHIKARI S, KARKI R. Integrated disturbance response modeling of wind-integrated power systems to quantify the operational reliability benefits of flywheel energy storage[J]. IEEE Transactions on Sustainable Energy, 2019, 10(3): 1152-1160.
8	刘颖明, 徐中民, 王晓东. 考虑飞轮储能的风电场有功功率平滑控制[J]. 储能科学与技术, 2015, 4(2): 194-197.
	LIU Y M, XU Z M, WANG X D. Power smoothing control for wind farms using flywheel based energy storage[J]. Energy Storage Science and Technology, 2015, 4(2): 194-197.
9	周皓, 李军徽, 葛长兴, 等. 改善风电并网电能质量的飞轮储能系统能量管理系统设计[J]. 太阳能学报, 2021, 42(3): 105-113.
	ZHOU H, LI J H, GE C X, et al. Research on improving power quality of wind power system based on energy management system of flywheel energy storage system[J]. Acta Energiae Solaris Sinica, 2021, 42(3): 105-113.
10	陈玉龙, 武鑫, 滕伟, 等. 用于风电功率平抑的飞轮储能阵列功率协调控制策略[J]. 储能科学与技术, 2022, 11(2): 600-608.
	CHEN Y L, WU X, TENG W, et al. Power coordinated control strategy of flywheel energy storage array for wind power smoothing[J]. Energy Storage Science and Technology, 2022, 11(2): 600-608.
11	LEE H S, SHIN B Y, HAN S, et al. Compensation for the power fluctuation of the large scale wind farm using hybrid energy storage applications[J]. IEEE Transactions on Applied Superconductivity, 2012, 22(3): doi: 10.1109/TASC.2011.2180881.
12	李学斌, 刘建伟. 采用二阶滤波的混合储能系统实时功率分配方法[J]. 电网技术, 2019, 43(5): 1650-1657.
	LI X B, LIU J W. Real-time power distribution method adopting second-order filtering for hybrid energy storage system[J]. Power System Technology, 2019, 43(5): 1650-1657.
13	仵华南, 张鹏, 王国成, 等. 用于平抑风电波动的飞轮储能阵列容量配置方法[J]. 宁夏电力, 2021(5): 6-11, 27.
	WU H N, ZHANG P, WANG G C, et al. Capacity configuration method of flywheel energy array for wind power output smoothing[J]. Ningxia Electric Power, 2021(5): 6-11, 27.
14	郭威, 修晓青, 李文启, 等. 计及多属性综合指标与经济性的电网侧储能系统选址配置方法[J]. 电力建设, 2020, 41(4): 53-62.
	GUO W, XIU X Q, LI W Q, et al. Siting and configuration methods for grid-side energy storage system considering multi-attribute comprehensive indices and economy[J]. Electric Power Construction, 2020, 41(4): 53-62.
15	JIANG Q Y, HONG H S. Wavelet-based capacity configuration and coordinated control of hybrid energy storage system for smoothing out wind power fluctuations[J]. IEEE Transactions on Power Systems, 2013, 28(2): 1363-1372.
16	张坤, 毛承雄, 谢俊文, 等. 风电场复合储能系统容量配置的优化设计[J]. 中国电机工程学报, 2012, 32(25): 79-87, 13.
	ZHANG K, MAO C X, XIE J W, et al. Optimal design of hybrid energy storage system capacity for wind farms[J]. Proceedings of the CSEE, 2012, 32(25): 79-87, 13.
17	谢应昭, 卢继平, 翁宗林, 等. 改善风电输出功率特性的复合储能系统优化配置[J]. 电网技术, 2016, 40(7): 2052-2058.
	XIE Y Z, LU J P, WENG Z L, et al. Optimization configuration of hybrid energy storage system for improving power output characteristics of wind farm[J]. Power System Technology, 2016, 40(7): 2052-2058.
18	迟英新. 风电系统中储能配置的控制策略和经济性研究[D]. 沈阳: 沈阳工程学院, 2021.CHI Y X. Study on control strategy and economy of energy storage allocation in wind power system[D]. Shenyang: Shenyang Insitute of Engineering, 2021.
19	ZAKERI E, MOEZI S A, BAZARGAN-LARI Y, et al. Multi-tracker optimization algorithm: A general algorithm for solving engineering optimization problems[J]. Iranian Journal of Science and Technology, Transactions of Mechanical Engineering, 2017, 41(4): 315-341.
20	赵武玲, 姚广, 赵楠. 飞轮储能阵列直流母线并联放电控制系统设计[J]. 电工技术, 2019(13): 45-47, 49.
	ZHAO W L, YAO G, ZHAO N. The design of DC bus parallel discharge control system for flywheel energy storage array[J]. Electric Engineering, 2019(13): 45-47, 49.
21	涂伟超, 李文艳, 张强, 等. 飞轮储能在电力系统的工程应用[J]. 储能科学与技术, 2020, 9(3): 869-877.
	TU W C, LI W Y, ZHANG Q, et al. Engineering application of flywheel energy storage in power system[J]. Energy Storage Science and Technology, 2020, 9(3): 869-877.

参数	取值
储能本体单位容量费用C_e/(万元/MWh)	3000
储能辅助设施单位容量费用C_a/(万元/MWh)	500
能量转换装置单位功率费用C_p/(万元/MWh)	125
单位功率的固定运行成本C_ope/(万元/MWh)	20
储能充放电效率η	0.9
当前放电量补贴C_c/(元/kWh)	0.3598

参数	取值
额定功率P/kW	250
转动惯量J/(kg·m²)	244
极对数n_p	2
转子电阻R_r/Ω	0.0028
定子电阻R_s/Ω	0.0034
转子电感L_r/H	0.00125
定子电感L_s/H	0.00124
定转子等效互感L_m/H	0.0012

模型变量	输出结果
最优分频频率f/Hz	0.0007
最优储能功率P/W	1.5113×10⁶
最优储能容量E/Wh	6.0883×10⁵

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