|
|
Power allocation of hybrid energy storage system with standby system based on wavelet decomposition |
Zheng Xidong, Jiang Xiubo |
College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108 |
|
|
Abstract Initial power allocation is based on adaptive wavelet packet decomposition to suppress wind power fluctuations. In this paper, a battery-ultracapacitor hybrid energy storage system with a standby system is proposed. According to the fluctuation of the actual wind power output, the wind power output is decomposed and reconstructed by an adaptive wavelet packet decomposition method, the optimal number of adaptive wavelet decomposition layers is obtained. Aiming at the N energy storage system model composed of storage battery and super capacitor, a spare system is added to form a system containing “N+1” energy storage, it can reduce the frequent charge and discharge of the battery and improve the absorption of high frequency power by the super capacitor. In the case study, the super capacitor reduces the absorption of large amplitude power, and the standby system takes up the power absorption of the boundary layer. The “N+1” energy storage system can realize the reasonable distribution of power and increase the service life of the components.
|
Received: 13 February 2020
|
|
|
|
Cite this article: |
Zheng Xidong,Jiang Xiubo. Power allocation of hybrid energy storage system with standby system based on wavelet decomposition[J]. Electrical Engineering, 2020, 21(7): 30-34.
|
|
|
|
URL: |
http://dqjs.cesmedia.cn/EN/Y2020/V21/I7/30
|
[1] 王博, 杨德友, 蔡国伟.大规模风电并网条件下考虑动态频率约束的机组组合[J/OL]. 电网技术, https://doi.org/10.13335/j.1000-3673.pst.2019.2088. [2] 穆钢, 蔡婷婷, 严干贵, 等. 双馈风电机组参与持续调频的双向功率约束及其影响[J]. 电工技术学报, 2019, 34(8): 1750-1759. [3] 王森, 蔺红. 基于变系数ES的混合储能平抑风电波动控制策略[J]. 太阳能学报, 2019, 40(11): 3204-3212. [4] 郭云鹏, 王小蕾, 文福拴, 等. 用于平抑风电功率波动的电池储能系统控制策略[J]. 电力建设, 2018, 39(6): 125-130. [5] 孙玉树, 张国伟, 唐西胜, 等. 风电功率波动平抑下的MPC双储能控制策略研究[J]. 电工技术学报, 2019, 34(3): 571-578. [6] 孙泽伦, 陈洁, 滕扬新, 等. 基于混合储能平抑风电波动的负反馈分层模糊控制策略[J]. 电力电容器与无功补偿, 2019, 40(4): 176-182. [7] 李宪栋, 石月春. 电池储能系统电压支持技术仿真研究[J]. 电气技术, 2017, 18(8): 59-64. [8] Zhao Pan, Wang Jiangfeng, Dai Yiping.Capacity allo- cation of a hybrid energy storage system for power system peak shaving at high wind power penetration level[J]. Renewable Energy, 2015, 75: 541-549. [9] 黄际元, 李欣然, 常敏, 等. 考虑储能电池参与一次调频技术经济模型的容量配置方法[J]. 电工技术学报, 2017, 32(21): 112-121. [10] 许丹, 黄晓明, 李献伟, 等. 基于小波变换的自适应电网谐波检测方法研究[J]. 电气技术, 2017, 18(8): 37-42. [11] 熊雄, 王江波, 杨仁刚. 基于小波包分解-概率模糊集特定策略下马尔可夫决策过程的微电网公共耦合点功率优化控制[J]. 电工技术学报, 2017, 32(22): 189-197. [12] 孙玉树, 张国伟, 唐西胜, 等. 风电功率波动平抑下的MPC双储能控制策略研究[J]. 电工技术学报, 2019, 34(3): 571-578. [13] 陈科彬, 邱晓燕, 刘波. 风电场混合储能的小波包- SOC分区功率控制[J]. 仪器仪表学报, 2017, 38(8): 2078-2085. [14] 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. [15] 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. [16] Feng X, Gooi H B, Chen S X.Hybrid energy storage with multimode fuzzy power allocator for PV systems[J]. IEEE Transactions on Sustainable Energy, 2014, 5(2): 389-397. |
|
|
|