[1]林俊德,朱希,施翔宇,等.基于改进的LMD混合储能容量优化配置[J].福建理工大学学报,2024,22(01):39-46.[doi:10.3969/j.issn.2097-3853.2024.01.006]
 LIN Junde,ZHU Xi,SHI Xiangyu,et al.Optimized configuration of hybrid energy storage capacity based on improved LMD[J].Journal of Fujian University of Technology;,2024,22(01):39-46.[doi:10.3969/j.issn.2097-3853.2024.01.006]
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基于改进的LMD混合储能容量优化配置()
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《福建理工大学学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第22卷
期数:
2024年01期
页码:
39-46
栏目:
出版日期:
2024-02-25

文章信息/Info

Title:
Optimized configuration of hybrid energy storage capacity based on improved LMD
作者:
林俊德朱希施翔宇林金阳
福建理工大学微电子技术研究中心
Author(s):
LIN Junde ZHU Xi SHI Xiangyu LIN Jinyang
Research Center for Microelectronics Technology, Fujian University of Technology
关键词:
波动率混合储能局部均值分解容量配置
Keywords:
volatility hybrid energy storage local mean decomposition capacity configuration
分类号:
TM615
DOI:
10.3969/j.issn.2097-3853.2024.01.006
文献标志码:
A
摘要:
为解决混合储能系统的光伏输出功率波动性较大的问题,提出一种改进的局部均值分解( improved local mean decomposition, ILMD)的功率分配方案。对光伏发电出力进行平滑处理,可得到满足国家要求的光伏并网功率,利用ILMD 对混合储能功率进行分解,确定其高频功率和低频功率并分别分配给超级电容和蓄电池,建立具有目标函数的功率优化模型,最大限度地降低整个系统全生命周期的投资成本,使用改进鲸鱼优化算法求解获得符合优化模型要求的容量配置。通过算例分析,对比不同的储能容量配置策略,验证所提策略的可行性。
Abstract:
To overcome the problem of large fluctuations in photovoltaic output power, an improved local mean decomposition (ILMD) power allocation scheme was proposed for hybrid energy storage systems. By smoothing the output of photovoltaic power generation, the grid connected photovoltaic power that meets national requirements can be obtained. The hybrid energy storage power is decomposed using ILMD, and its high-frequency and low-frequency power are allocated to supercapacitors and batteries respectively. A power optimization model with a target function is established to minimize the investment cost of the whole system life cycle. The improved whale optimization algorithm is used to obtain the capacity configuration that meets the requirements of the optimization model. By analyzing numerical examples and comparing different energy storage capacity configuration strategies, it is verified that the proposed strategy has higher feasibility.

参考文献/References:

[1] 史恒逸,王宝华. 考虑配网电压越限风险的光伏接入规划研究[J]. 电测与仪表,2021,58(3):40-46.[2] 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.[3] 马伟,王玮,吴学智,等. 平抑光伏并网功率波动的混合储能系统优化调度策略[J]. 电力系统自动化,2019,43(3):58-66.[4] 张宇涵,杜贵平,雷雁雄,等. 直流微网混合储能系统控制策略现状及展望[J]. 电力系统保护与控制,2021,49(3):177-187.[5] CHU H C,WANG X H,MU X C,et al. Research on optimal configuration of hybrid energy storage capacity based on improved particle swarm optimization algorithm[C]∥2019 IEEE 4th Advanced Information Technology,Electronic and Automation Control Conference. Chengdu,2019:2030-2036.[6] 钟国彬,吴涛,曾杰,等. 基于离散傅里叶变换的主动配电网混合储能容量优化配置[J]. 电力建设,2018,39(8):85-93.[7] 吴杰,丁明. 采用自适应小波包分解的混合储能平抑风电波动控制策略[J]. 电力系统自动化,2017,41(3):7-12.[8] 韩晓娟,田春光,程成,等. 基于经验模态分解的混合储能系统功率分配方法[J]. 太阳能学报,2014,35(10):1889-1896.[9] 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.[10] 国家电网公司.光伏电站接入电网技术规定:Q/GDW 1617-2015[S].北京:中国电力出版社,2016.[11] 何俊强,师长立,马明,等. 基于元模型优化算法的混合储能系统双层优化配置方法[J]. 电力自动化设备,2020,40(7):157-167. [12] 张达敏,徐航,王依柔等. 嵌入Circle映射和逐维小孔成像反向学习的鲸鱼优化算法[J]. 控制与决策,2021,36(5):1173-1180.

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更新日期/Last Update: 2024-02-25