Control Method of Wind Power Fluctuation Smoothing for Battery Energy Storage System Based on Quasi-Zero Phase Filter

被引：0
|
作者：
Shi X. [1 ]
Zhao Y. [1 ]
Zhang H. [1 ]
Wang X. [2 ]
Zhou B. [3 ]
机构：
[1] School of Electrical Engineering, Shandong University, Jinan
[2] Huaneng Shandong Power Generation Co., Ltd., Jinan
[3] Shandong Electric Power College, Jinan
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2021年 / 45卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Battery energy storage system (BESS); Moving average filter; Wind power fluctuation smoothing; Zero phase filter;
D O I：
10.7500/AEPS20191227007
中图分类号：
学科分类号：
摘要：
The output stability of the wind farm can be improved by using the battery energy storage system (BESS) to smooth the wind power fluctuation, but the control method based on the first-order low-pass filter is prone to the introduction of the trend component of wind power into the charging/discharging order of the BESS, which increases the demand of energy storage capacity. Aiming at the problem, a control method of BESS based on the quasi-zero phase filter is proposed. Firstly, the impact of time-frequency domain and phase lag characteristics for the moving average filter (MAF) on the charging/discharging control of BESS is analyzed. Then, based on the central MAF algorithm, a quasi-zero phase filter with the approximate zero phase delay is established by integrating the prediction information of wind power trend. Finally, the fluctuation component of wind power is extracted by the proposed filter to significantly reduce the filter delay, and the trend component in the charging/discharging order of the BESS is decreased. The simulation results of typical wind power fluctuation scenarios show that when the obtained smoothing effect is similar to that of traditional low-pass filtering method, the proposed method can significantly reduce the maximum energy fluctuation and cumulative energy exchange of BESS, thus the capacity requirements is reduced and the service life of BESS is extended. © 2021 Automation of Electric Power Systems Press.
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页码：45 / 53
页数：8
相关论文
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