RESEARCH ON OPTIMAL CONFIGURATION OF HYBRID ENERGY STORAGE CAPACITY BASED ON ADAPTIVE VMD

Liu Zhongmin, Qi Guoyuan, Gao Jinggeng, Wang Zhiguo

Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (4) : 75-81.

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (4) : 75-81. DOI: 10.19912/j.0254-0096.tynxb.2020-0965
Topics on Key Technologies for Safety of Electrochemical Energy Storage Systems and Echelon Utilization of Decommissioned Power Batteries

RESEARCH ON OPTIMAL CONFIGURATION OF HYBRID ENERGY STORAGE CAPACITY BASED ON ADAPTIVE VMD

  • Liu Zhongmin1, Qi Guoyuan1, Gao Jinggeng2, Wang Zhiguo2
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Abstract

Based on power demand of users and renewable energy generation situation, in this paper, a hybrid energy storage system consisting of gravity energy storage, battery and supercapacitor is proposed, and the mathematical modelling of the hybrid energy storage system is established. According to different characteristics, a strategy of optimal capacity configuration of hybrid energy storage system based on adaptive variational mode decomposition is proposed and the optimal configuration model of hybrid energy storage capacity is sowed. The optimal energy storage system’s decomposition scale K, the frequency demarcation points and their corresponding energy storage configuration are verified on typical daily output data of a wind-solar generation station. It is indicated that the results reflect the economy and rationality of the proposed method.

Key words

wind power / solar power / energy storage / adaptive variational mode decomposition / optimal capacity configuration

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Liu Zhongmin, Qi Guoyuan, Gao Jinggeng, Wang Zhiguo. RESEARCH ON OPTIMAL CONFIGURATION OF HYBRID ENERGY STORAGE CAPACITY BASED ON ADAPTIVE VMD[J]. Acta Energiae Solaris Sinica. 2022, 43(4): 75-81 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0965

References

[1] SEYED H M, RAMTEEN S, PAUL D.How thermal energy storage enhances the economic viability of concentrating solar power[J]. Proceedings of the IEEE, 2012, 100(2): 335-347.
[2] 王利猛, 刘久成, 田春光, 等. 基于统计学方法的微网混合储能容量优化配置[J]. 电网技术, 2018, 42(1): 187-194.
WANG L M, LIU J C, TIAN C G, et al. Capacity optimization of hybrid energy storage in microgrid based on statistic method[J]. Power ystem technology, 2018, 42(1): 187-194.
[3] 张鹏, 张峰, 梁军, 等. 采用小波包分解和模糊控制的风电机组储能优化配置[J]. 高电压技术, 2019, 45(2): 609-617.
ZHANG P, ZHANG F, LIANG J, et al. Optimal configuration of wind turbine energy storage using wavelet packet decomposition and fuzzy control[J]. High voltage engineering, 2019, 45(2): 609-617.
[4] 郭玲娟, 魏斌, 韩肖清, 等. 基于集合经验模态分解的交直流混合微电网混合储能容量优化配置[J]. 高电压技术, 2020, 46(2): 527-537.
GUO L J, WEI B, HAN X Q, et al. Capacity optimal configuration of hybrid energy storage in hybrid AC/DC micro grid based on ensemble empirical mode decomposition[J]. High voltage engineering, 2020, 46(2): 527-537.
[5] 张梦田, 田书, 曾志辉.基于变分模态分解的混合储能容量优化配置[J]. 储能科学与技术, 2020, 9(1): 170-177.
ZHANG M T, TIAN S, ZENG Z H.Optimal allocation of hybrid energy storage capacity based on variational mode decomposition[J]. Energy storage science and technology, 2020, 9(1): 170-177.
[6] 李鹏伟.孤岛型风光互补微电网混合储能容量配置研究[D]. 西安: 西安科技大学, 2019.
LI P W.Research on hybrid energy storage capacity configuration of island-type wind-solar complementary microgrid[D]. Xi’an: Xi’an University of Science and Technology, 2019.
[7] 夏新茂, 关洪浩, 丁鹏飞, 等. 基于改进型量子遗传算法的储能系统容量配置与优化策略[J]. 储能科学与技术, 2019, 8(3): 551-558.
XIA X M, GUAN H H, DING P F, et al. Capacity configuration and optimization strategy of energy storage system based on an improved quantum genetic algorithm[J]. Energy storage science and technology, 2019, 8(3): 551-558.
[8] 孙承晨, 袁越, SAN S C, 等. 基于经验模态分解和神经网络的微网混合储能容量优化配置[J]. 电力系统自动化, 2015, 39(8): 19-26.
SUN C C, YUAN Y, SAN S C, et al. Capacity optimization of hybrid energy storage systems in microgrid using empirical mode decomposition and neural network[J]. Automation of electric power systems, 2015, 39(8): 19-26.
[9] XIONG R, DUAN Y Z, CAO J Y, et al. Battery and ultracapacitor in-the-loop approach to validate a real-time power management method for an all-climate electric vehicle[J]. Applied energy, 2018, 217: 153-165.
[10] MAMUN A A, LIU Z, RIZZO D M, et al. An integrated design and control optimization framework for hybrid military vehicle using lithium-ion battery and supercapacitor as energy storage devices[J]. IEEE transactions on transportation electrification, 2019, 5(1): 239-251.
[11] 丁明, 吴杰, 张晶晶.面向风电平抑的混合储能系统容量配置方法[J]. 太阳能学报, 2019, 40(3): 593-599.
DING M, WU J, ZHANG J J.Capacity optimization method of hybrid energy storage system for wind power smoothing[J]. Acta energiae solaris sinica, 2019, 40(3): 593-599.
[12] 李瑞民, 张新敬, 徐玉杰, 等. 风光互补系统中混合储能容量优化配置研究[J]. 储能科学与技术, 2019, 8(3): 512-522.
LI R M, ZHANG X J, XU Y J, et al. Research on optimal configuration of hybrid energy storage capacity for wind-solar generation system[J]. Energy storage science and technology, 2019, 8(3): 512-522.
[13] 梅生伟, 公茂琼, 秦国良, 等. 基于盐穴储气的先进绝热压缩空气储能技术及应用前景[J]. 电网技术, 2017, 41(10): 3392-3399.
MEI S W, GONG M Q, QIN G L, et al. Advanced adiabatic compressed air energy storage system with salt cavern air storage and its application prospects[J]. Power system technology, 2017, 41(10): 3392-3399.
[14] HOU H, XU T, WU X X, et al. Optimal capacity configuration of the wind-photovoltaic-storage hybrid power system based on gravity energy storage system[J]. Applied energy, 2020, 271: 115502.
[15] 石肖.风光储直流微电网中混合储能系统容量配置研究[D]. 武汉: 湖北工业大学, 2019.
SHI X.The configuration of hybrid energy storage system in wind-solar storage DC microgrid[D]. Wuhan: Hubei University of Technology, 2019.
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