Trategies and Optimal Allocation of Hybrid Energy Storage to Improve Wind Power Utilization

In order to improve the utilization rate of wind power, this paper constitutes the battery bank-flywheel energy storage-supercapacitor-pumped storage plant into a hybrid energy storage device, which is divided into a DC part and an AC part, and applies it to wind farms, and utilizes the energy management system to formulate a strategy for controlling the charging and discharging of the hybrid storage device, so as to mprove the utilization rate of wind power. The battery pack-flywheel energy storage-supercapacitor constitutes the DC part, and the pumped storage power station forms the AC part, which combines the above energy-type and power-type energy storage devices to improve the overall performance of the energy storage device. The fluctuation of wind power generation is nonlinear, and the wind power fluctuation is transformed according to the Hilbert frequency to calculate the low-frequency, medium-frequency and high-frequency fluctuations, which correspond to the power distribution between the DC energy storage battery pack-flywheel energy storage and supercapacitors, so as to realize the smoothing of the real-time output fluctuation of the wind farm and improve the power quality. When the fluctuation rate of wind power is very large, the energy storage of pumped storage power stations with large capacity is used to shave peak and fill valley to directly improve the utilization rate of wind power. Also based on theoretical analysis and typical configuration scenarios, hybrid energy storage devices can effectively stabilize wind power fluctuations, peak shaving and valley filling, and ultimately improve the utilization rate of wind power.

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Publication Details

Published
2025-07-18
DOI
https://doi.org/10.1109/eeais66172.2025.11170638
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Trategies and Optimal Allocation of Hybrid Energy Storage to Improve Wind Power Utilization

Yimeng Liu, Yongqiang Zhu, Yue Zhao, Yingqi Fan
Power Systems and Renewable Energy
article

Trategies and Optimal Allocation of Hybrid Energy Storage to Improve Wind Power Utilization

Yimeng Liu, Yongqiang Zhu, Yue Zhao, Yingqi Fan
article en

Abstract

In order to improve the utilization rate of wind power, this paper constitutes the battery bank-flywheel energy storage-supercapacitor-pumped storage plant into a hybrid energy storage device, which is divided into a DC part and an AC part, and applies it to wind farms, and utilizes the energy management system to formulate a strategy for controlling the charging and discharging of the hybrid storage device, so as to mprove the utilization rate of wind power. The battery pack-flywheel energy storage-supercapacitor constitutes the DC part, and the pumped storage power station forms the AC part, which combines the above energy-type and power-type energy storage devices to improve the overall performance of the energy storage device. The fluctuation of wind power generation is nonlinear, and the wind power fluctuation is transformed according to the Hilbert frequency to calculate the low-frequency, medium-frequency and high-frequency fluctuations, which correspond to the power distribution between the DC energy storage battery pack-flywheel energy storage and supercapacitors, so as to realize the smoothing of the real-time output fluctuation of the wind farm and improve the power quality. When the fluctuation rate of wind power is very large, the energy storage of pumped storage power stations with large capacity is used to shave peak and fill valley to directly improve the utilization rate of wind power. Also based on theoretical analysis and typical configuration scenarios, hybrid energy storage devices can effectively stabilize wind power fluctuations, peak shaving and valley filling, and ultimately improve the utilization rate of wind power.

North China Electric Power University (CN)
Openalex Percentile: Top 71%
Power Systems and Renewable Energy
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Trategies and Optimal Allocation of Hybrid Energy Storage to Improve Wind Power Utilization — Yimeng Liu, Yongqiang Zhu, et al. · (2025) | TGRS Research Map | TGRS