A Fuzzy Division Control Strategy for Flywheel Energy Storage to Assist Primary Frequency Regulation of Hydropower Units

Enhancing the flexibility of hydropower units is essential for adapting to future power systems dominated by intermittent renewable energy sources such as wind and solar, which introduce significant frequency stability challenges due to their inherent variability. To improve the primary frequency regulation capability of the hydropower unit, this study incorporates a flywheel energy storage system—known for its fast response and high short-term power output. Using fuzzy control theory, a frequency regulation command decomposition method with a variable filtering time constant is proposed. In this fuzzy control design, the frequency change rate and the state of charge of the flywheel energy storage are used as inputs to dynamically adjust the filtering time constant, which serves as the output. Additionally, a logistic function is introduced to constrain the output power of the flywheel energy storage under different states of charge, ensuring operational safety and durability. Based on these techniques, a fuzzy frequency division control strategy is designed for flywheel-assisted hydropower primary frequency regulation. Simulation results show that the integration of flywheel energy storage significantly improves the primary frequency regulation performance of the hydropower unit. Compared to the system without energy storage, the proposed strategy reduces the maximum frequency deviation by 53.49% and the steady-state frequency deviation by 39.06%, while also markedly decreasing fluctuations in hydropower output. This study offers both a theoretical basis and practical guidance for enhancing the operational flexibility of hydropower systems.

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Publication Details

Journal
Energies
Published
2025-11-19
DOI
https://doi.org/10.3390/en18226032
Citations
1
Primary Topic
Wind Turbine Control Systems
Type
article
Field-Weighted Citation Impact
0.73

Funders

Controls
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article

A Fuzzy Division Control Strategy for Flywheel Energy Storage to Assist Primary Frequency Regulation of Hydropower Units

Zhengfa Li, Ning Xu, Miao Dong, Tian Zhang et al.
1 citations
Energies
Wind Turbine Control Systems
0.73
article

A Fuzzy Division Control Strategy for Flywheel Energy Storage to Assist Primary Frequency Regulation of Hydropower Units

Zhengfa Li, Ning Xu, Miao Dong, Tian Zhang, Hao Zhang, Pengfei Gao, Jian Lü, Qiong Ma
article en
1 citations

Abstract

Enhancing the flexibility of hydropower units is essential for adapting to future power systems dominated by intermittent renewable energy sources such as wind and solar, which introduce significant frequency stability challenges due to their inherent variability. To improve the primary frequency regulation capability of the hydropower unit, this study incorporates a flywheel energy storage system—known for its fast response and high short-term power output. Using fuzzy control theory, a frequency regulation command decomposition method with a variable filtering time constant is proposed. In this fuzzy control design, the frequency change rate and the state of charge of the flywheel energy storage are used as inputs to dynamically adjust the filtering time constant, which serves as the output. Additionally, a logistic function is introduced to constrain the output power of the flywheel energy storage under different states of charge, ensuring operational safety and durability. Based on these techniques, a fuzzy frequency division control strategy is designed for flywheel-assisted hydropower primary frequency regulation. Simulation results show that the integration of flywheel energy storage significantly improves the primary frequency regulation performance of the hydropower unit. Compared to the system without energy storage, the proposed strategy reduces the maximum frequency deviation by 53.49% and the steady-state frequency deviation by 39.06%, while also markedly decreasing fluctuations in hydropower output. This study offers both a theoretical basis and practical guidance for enhancing the operational flexibility of hydropower systems.

EnergiesVol. 18(22)
State Grid Corporation of China (China) (CN), Shanghai Electric (China) (CN), Xi'an University of Technology (CN)
Education Department of Shaanxi Province
Openalex Percentile: Top 21%
Wind Turbine Control Systems
0.73
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