希尔伯特-黄变换
储能
平滑的
计算机科学
风力发电
功率(物理)
计算机数据存储
模式(计算机接口)
能量(信号处理)
电力系统
控制理论(社会学)
荷电状态
数学
电气工程
工程类
物理
统计
人工智能
控制(管理)
电池(电)
量子力学
计算机视觉
操作系统
作者
Yuming Chen,Peng Jia,Gaojun Meng,Wu Yao,Tiantian Li
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:10: 101229-101236
被引量:23
标识
DOI:10.1109/access.2022.3205021
摘要
After comparing the economic advantages of different methods for energy storage system capacity configuration and hybrid energy storage system (HESS) over single energy storage system, a method based on improved moving average and ensemble empirical mode decomposition (EEMD) to smooth wind power fluctuations is proposed aiming at the optimal capacity configuration of HESS. Firstly, EEMD was used to decompose the HESS reference power which was derived by improved moving average filtering, and then several intrinsic mode functions (IMFs) were obtained. Each IMF instantaneous frequency-time profile was processed by Hilbert transform, the so- call gap frequency was identified, and then reconstruct the high and low frequency components to obtain the HESS reference power. Subsequently, taken the energy storage system charge-discharge efficiency and state of charge (SOC) into account, the rated power and capacities of each scheme was determined. Finally, based on Life Cycle Cost (LCC) theory, an energy storage system economic cost calculation model was established to compare the costs of each scheme and select the optimal one.
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