CAPACITY CONFIGURATION METHOD OF HYBRID ENERGY STORAGE SYSTEM BASED ON IMPROVED WAVELET PACKET DECOMPOSITION

Wu Xin, Li Yangtao, Ma Zhiyong, Teng Wei, Zhang Shuang, Luo Hairong

Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (8) : 23-29.

PDF(2764 KB)
Welcome to visit Acta Energiae Solaris Sinica, Today is
PDF(2764 KB)
Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (8) : 23-29. DOI: 10.19912/j.0254-0096.tynxb.2022-0578

CAPACITY CONFIGURATION METHOD OF HYBRID ENERGY STORAGE SYSTEM BASED ON IMPROVED WAVELET PACKET DECOMPOSITION

  • Wu Xin1, Li Yangtao1,2, Ma Zhiyong1, Teng Wei1, Zhang Shuang3, Luo Hairong3
Author information +
History +

Abstract

With the increase of wind power installed capacity in China, the randomness and fluctuation of wind power make it more difficult for the frequency adjustment of power grid. To solve such problem, a hybrid energy storage system composed of energy-type (lithium-ion batteries) and power-type (flywheel) energy storage arrays can be used to smooth the wind power output. Therefore, it is urgent to study the capacity configuration method of the hybrid energy storage system to increase its utilization rate and reduce its requir ment capacity. Firstly, the 250 kW/50 kWh flywheel and 250 kW/150 kWh lithium-ion battery energy storage unit models are established, and corresponding control strategies are introduced. Secondly, according to the characteristics of the energy storage system and the amplitude-frequency characteristics of the output power of the wind farm, an improved wavelet packet decomposition method is proposed to decompose the output power data of the wind farm and obtain the overall charging and discharging power commands of the hybrid energy storage system. Thirdly, the distribution method of charging and discharging power commands for each type of energy storage array are obtained through the response time of different types of energy storage arrays and the energy distribution of each node with the improved wavelet packet decomposition. Finally, the fitting function is adopted to fit the probability distribution characteristics of the charge and discharge power commands above mentioned. Based on the limitation of confidence interval under a certain confidence level and the introduction of measurement factor for correction, the capacity configuration method for the hybrid energy storage system is proposed to determine the number of various energy storage units, which can increase the utilization rate of hybrid energy storage system and reduce its requirement capacity. Based the actual output power data of a wind farm with the rated installed capacity of 15 MW, the developed capacity configuration method of the hybrid energy storage system is verified through simulation.

Key words

wind power / energy storage / improved wavelet packet / energy storage array charging and discharging command distribution method / hybrid energy storage system capacity configuration method

Cite this article

Download Citations
Wu Xin, Li Yangtao, Ma Zhiyong, Teng Wei, Zhang Shuang, Luo Hairong. CAPACITY CONFIGURATION METHOD OF HYBRID ENERGY STORAGE SYSTEM BASED ON IMPROVED WAVELET PACKET DECOMPOSITION[J]. Acta Energiae Solaris Sinica. 2023, 44(8): 23-29 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0578

References

[1] 李政, 张东杰, 潘玲颖, 等. “双碳”目标下我国能源低碳转型路径及建议[J]. 动力工程学报, 2021, 41(11): 905-909, 971.
LI Z, ZHANG D J, PAN L Y, et al.Low-carbon transition of China’s energy sector and suggestions with the’Carbon-Peak and Carbon-Neutrality’ target[J]. Journal of power engineering, 2021, 41(11): 905-909, 971.
[2] ZHANG Y G, DONG Z Y, LUO F J, et al.Optimal allocation of battery energy storage systems in distribution networks with high wind power penetration[J]. Journal of Chinese Society of Power Engineering, 2016, 10(8): 1105-1113.
[3] JU C Q, WANG P, GOEL L, et al.A two-layer energy management system for microgrids with hybrid energy storage considering degradation costs[J]. IEEE transactions on smart grid, 2018, 9(6): 6047-6057.
[4] 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 K, PENG X T, QIN S Y, 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.
[5] 李志强, 李赛, 王凡凯, 等. 平抑风电波动的混合储能系统自适应控制策略[J]. 现代电力, 2020, 37(6): 106-113.
LI Z Q, LI S, WANG F K, et al.Adaptive control strategy of hybrid energy storage system for mitigating wind power fluctuations[J]. Modern electric power, 2020, 37(6): 106-113.
[6] WAN C, QIAN W T, ZHAO C F, et al.Probabilistic forecasting based sizing and control of hybrid energy storage for wind power smoothing[J]. IEEE transactions on sustainable energy, 2021, 12(4): 1841-1852.
[7] SUN Y S, TANG X S, SUN X Z, et al.Model predictive control and improved low-pass filtering strategies based on wind power fluctuation mitigation[J]. Journal of modern power systems and clean energy, 2019, 7(3): 512-524.
[8] 韩晓娟, 陈跃燕, 张浩, 等. 基于小波包分解的混合储能技术在平抑风电场功率波动中的应用[J]. 中国电机工程学报, 2013, 33(19): 8-13.
HAN X J, CHEN Y Y, ZHANG H, et al.Application of hybrid energy storage technology based on wavelet packet decomposition in smoothing the fluctuations of wind power[J]. Proceedings of the CSEE, 2013, 33(19): 8-13.
[9] 贾伟青, 任永峰, 薛宇, 等. 基于小波包-模糊控制的混合储能平抑大型风电场功率波动[J]. 太阳能学报, 2021, 42(9): 357-363.
JIA W Q, REN Y F, XUE Y, et al.Wavelet packet-fuzzy control of hybrid energy storage for power fluctuation smoothing of large wind farm[J]. Acta energiae solaris sinica, 2021, 42(9): 357-363.
[10] TREMBLEY O, DESSAINT L.Experimental validation of a battery dynamic model for EV applications[J]. World electric vehicle journal, 2009, 3(2): 289-298.
[11] 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.
[12] GB/T 19963.1—2021, 风电场接入电力系统技术规定第1部分: 陆上风电[S].
GB/T 19963.1—2021, Technical specification for connecting wind farm access to power system part 1: on shore wind power[S].
[13] CHEN H, CONG T N, YANG W, et a1. Progress in electrical energy storage system: a critical review[J]. Progress in natural science, 2009, 19(3): 291-312.
[14] 刘大同, 周建宝, 郭力萌, 等. 锂离子电池健康评估和寿命预测综述[J]. 仪器仪表学报, 2015, 36(1): 1-16.
LIU D T, ZHOU J B, GUO L M, et al.Survey on lithium-ion battery health assessment and cycle life estimation[J]. Chinese journal of scientific instrumen, 2015, 36(1): 1-16.
[15] 杨茂, 朱亮. 基于非参数估计的光伏功率短期预测误差分析[J]. 电网与清洁能源, 2020, 36(5): 107-114.
YANG M, ZHU L.Error analysis of photovoltaic power short-term Advances of power system & hydroelectric engineering, based on non-parametric estimation[J]. 2020, 36(5): 107-114.
[16] 王令闻, 黄玲玲, 张智伟. 基于运行数据的海上风电场功率特性分析[J]. 现代电力, 2020, 37(5): 532-538.
WANG L W, HUANG L L, ZHANG Z.Analysis on power characteristics analysis of offshore wind farms based on operational data[J]. Modern electric power, 2020, 37(5): 532-538.
[17] 刘文军, 贾东强, 曾昊旻, 等. 飞轮储能系统的发展与工程应用现状[J]. 微特电机, 2021, 49(12): 52-58.
LIU W J, JIA D Q, ZENG H M, et al.Development and engineering application status of flywheel energy storage system[J]. Small & special electrical machines, 2021, 49(12): 52-58.
PDF(2764 KB)

Accesses

Citation

Detail

Sections
Recommended

/