Control Method of Wind Power Fluctuation Smoothing for Battery Energy Storage System Based on Quasi-Zero Phase Filter
Basic Research|更新时间:2025-06-16
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Control Method of Wind Power Fluctuation Smoothing for Battery Energy Storage System Based on Quasi-Zero Phase Filter
Automation of Electric Power SystemsVol. 45, Issue 4, Pages: 45-53(2021)
作者机构:
1.山东大学电气工程学院,山东省济南市 250061
2.华能山东发电有限公司,山东省济南市 250014
3.山东电力高等专科学校,山东省济南市 250002
作者简介:
基金信息:
National Natural Science Foundation of China;Shandong Provincial National Natural Science Foundation of China;Shandong Province Higher Educational Science and Technology Program
SHI Xiaohan,ZHAO Yawen,ZHANG Hengxu,et al.Control Method of Wind Power Fluctuation Smoothing for Battery Energy Storage System Based on Quasi-Zero Phase Filter[J].Automation of Electric Power Systems,2021,45(4):45-53.
SHI Xiaohan,ZHAO Yawen,ZHANG Hengxu,et al.Control Method of Wind Power Fluctuation Smoothing for Battery Energy Storage System Based on Quasi-Zero Phase Filter[J].Automation of Electric Power Systems,2021,45(4):45-53. DOI: 10.7500/AEPS20191227007.
Control Method of Wind Power Fluctuation Smoothing for Battery Energy Storage System Based on Quasi-Zero Phase Filter
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.
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