RESEARCH ON OPTIMIZATION OF HYBRID ENERGY STORAGE CAPACITY USING ENSEMBLE EMPIRICAL MODE ECOMPOSITION AND FUZZY CONTROL

Jia Dongwei; Ren Yongfeng; Li Limei; Yun Pingping; Xue Yu; Mi Yue

doi:10.19912/j.0254-0096.tynxb.2021-1070

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (2) : 239-246. DOI: 10.19912/j.0254-0096.tynxb.2021-1070

RESEARCH ON OPTIMIZATION OF HYBRID ENERGY STORAGE CAPACITY USING ENSEMBLE EMPIRICAL MODE ECOMPOSITION AND FUZZY CONTROL

Jia Dongwei¹, Ren Yongfeng¹, Li Limei², Yun Pingping³, Xue Yu¹, Mi Yue³

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Abstract

In order to stabilize the power of the microgrid tie-line, this paper adopts the combination of lithium iron phosphate batteries with super-capacitors to optimize the configuration of hybrid energy storage in the microgrid. To start with, according to the grid scheduling arrangement, the net load of microgrid is decomposed into tie-line power and total power of hybrid energy storage system. Secondly, the total power of the hybrid energy storage system is decomposed into the low-frequency component of lithium battery suppression and the high-frequency component of super-capacitor suppression through ensemble empirical modal decomposition. In addition, the equal annual cost, the flat energy contact line power and the balance target function of energy supply and demand are established via applying the adaptive particle group algorithm to solve the hybrid energy storage capacity. Depending on the charge state of energy storage, the fuzzy control algorithm was used to make secondary corrections to the charging and discharging power of lithium batteries and super capacitors to ensure the long-term operation of the energy storage system. Based on an example analysis of a grid-connected microgrid, the economy and effectiveness of the method is verified through simulation.

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energy storage / microgrid / particle swarm optimization / ensemble empirical mode decomposition / tie-line power / fuzzy control

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Jia Dongwei, Ren Yongfeng, Li Limei, Yun Pingping, Xue Yu, Mi Yue. RESEARCH ON OPTIMIZATION OF HYBRID ENERGY STORAGE CAPACITY USING ENSEMBLE EMPIRICAL MODE ECOMPOSITION AND FUZZY CONTROL[J]. Acta Energiae Solaris Sinica. 2023, 44(2): 239-246 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1070

References

[1] 刘畅, 卓建坤, 赵东明, 等. 利用储能系统实现可再生能源微电网灵活安全运行的研究综述[J]. 中国电机工程学报, 2020, 40(1): 1-18, 369.
LIU C, ZHUO J K, ZHAO D M, etal. A review on the utilization of energy storage system for the flexible and safe operation of renewable energy microgrids[J]. Proceedings of the CSEE, 2020, 40(1): 1-18, 369.
[2] ABDALLA A N, NAZIR M S, ZHU T Z, et al.Optimized economic operation of microgrid: combined cooling and heating power and hybrid energy storage systems[J]. Journal of resources technology, 2021, 143(7): 070906.
[3] 肖峻, 张泽群, 王成山, 等. 用于优化微网联络线功率的混合储能容量优化方法[J]. 电力系统自动化, 2014, 38(12): 19-26.
XIAO J, ZHANG Z Q, WANG C S, et al.A capacity optimization method of hybrid energy storage system for optimizing tie-line power in microgrids[J]. Automation of electric power systems, 2014, 38(12): 19-26.
[4] SITI M W, TUNGADIO D H, TIAKO R, et al.Optimal frequency deviations control in microgrid interconnected systems[J]. IET renewable power generation, 2019, 13(13): 2376-2382.
[5] ZHANG C, ZENG J, ZHANG W, et al.Capacity optimization of distributed generation for stand-alone microgrid considering hybrid energy storage systems[C]//2018 International Conference on Power System Technology(POWERCON), Guangzhou, China, 2018.
[6] WU T Z, SHI X, LIAO L, et al.A capacity configuration control strategy toalleviate power fluctuation of hybrid energy storagesystem based on improved particleswarm optimization[J]. Energies, 2019, 12(4): 642-652.
[7] 杨修宇, 段士伟, 安军, 等. 固定储能配比对风电基地外输电容量的影响分析[J]. 太阳能学报, 2020, 41(8): 60-66.
YANG X Y, DUAN S W, AN J, et al.Influence of fixed energy storage proportion on wind power transmission capacity[J]. Acta energiae solaris sinica, 2020, 41(8): 60-66.
[8] 罗鹏, 杨天蒙, 娄素华, 等. 基于频谱分析的微网混合储能容量优化配置[J]. 电网技术, 2016, 40(20): 376-381.
LUO P, YANG T M, LOU S H, et al.Spectrum analysis based capacity configuration of hybrid energy storage in microgrid[J]. Power system technoloy, 2016, 40(20): 376-381.
[9] WANG Y L, SONG F H, MA Y Z, et al.Research on capacity planning and optimization of regional integrated energy system based on hybrid energy storage system[J]. Applied thermal engineering, 2020, 180: 115834.
[10] 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.Capacity optimization of hybrid energy storage system for wind farm using wavelet packet decomposition and fuzzy control[J]. High voltage engineering, 2019, 45(2): 609-617.
[11] 张晴, 李欣然, 杨明, 等. 净效益最大的平抑风电功率波动的混合储能容量配置方法[J]. 电工技术学报, 2016, 31(14): 40-48.
ZHANG Q, LI X R, YANG M, et al.Capacity determination of hybrid energy storage system for smoothing wind power fluctuations with maximum net benefit[J]. Transactions of China Electrotechnical Society,2016, 31(14): 40-48.
[12] 丁明, 徐宁舟, 毕锐. 负荷侧新型电池储能电站动态功能的研究[J]. 电力自动化设备, 2011, 31(5): 1-7.
DING M, XU N Z, BI R, et al.Dynamic model of new-type batter energy storage system at demand side[J]. Electric power automation equipment, 2011, 31(5): 1-7.
[13] 杨茂, 张强. 基于集合经验模态分解和相关向量机的风电功率实时预测研究[J]. 太阳能学报, 2016, 37(5): 1093-1099.
YANG M, ZHANG Q.Real-time prediction of wind power based on ensemble empirical mode decomposition and correlation vector machine[J]. Acta energiae solaris sinica, 2016, 37(5): 1093-1099.
[14] 付菊霞, 陈洁, 滕扬新, 等. 基于集合经验模态分解的风电混合储能系统能量管理协调控制策略[J]. 电工技术学报, 2019, 34(10): 2038-2046.
FU J X, CHEN J, TENG Y X, et al.Energy management coordination control strategy for wind power hybrid energy storage system based on EEMD[J]. Transactions of China Electrotechnical Society, 2019, 34(10): 2038-2046.
[15] 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 model decomposition[J]. High voltage engineering, 2020, 46(2): 527-537.
[16] 谭兴国, 王辉, 张黎, 等. 微电网复合储能多目标优化配置方法及评价指标[J]. 电力系统自动化, 2014, 38(8): 7-14.
TAN X G, WANG H, ZHANG L, et al.Multi-objective optimization of hybrid energy storage and assessment indices in microgrid[J]. Automation of electric power systems, 2014, 38(8): 7-14.