Suboptimal frequency steady state control method for wind power generation

As the proportion of renewable energy increases, wind power integration brings significant challenges to the frequency stability of power system. Aiming at the frequency fluctuation caused by high wind power penetration in the national electricity market, this paper proposes a solution based on suboptimal operation strategy. Through the establishment of wind power storage joint scheduling model, the frequency response characteristics of the system under different permeability are analyzed, and the effectiveness of the proposed method in reducing frequency deviation and improving grid robustness is verified. The simulation results show that the strategy can reduce the frequency fluctuation by more than $30 \%$ while ensuring the economy, and provide theoretical support for the stable operation of high proportion renewable energy power system.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/icetac65964.2025.11144148
Primary Topic
Power Systems and Renewable Energy
Type
article
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Suboptimal frequency steady state control method for wind power generation

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Power Systems and Renewable Energy
article

Suboptimal frequency steady state control method for wind power generation

Chunfa Zhang, Weifeng Zhu, Yu Zhou, Meng Xing, Hongliang Zhu, Guowei Li
article en

Abstract

As the proportion of renewable energy increases, wind power integration brings significant challenges to the frequency stability of power system. Aiming at the frequency fluctuation caused by high wind power penetration in the national electricity market, this paper proposes a solution based on suboptimal operation strategy. Through the establishment of wind power storage joint scheduling model, the frequency response characteristics of the system under different permeability are analyzed, and the effectiveness of the proposed method in reducing frequency deviation and improving grid robustness is verified. The simulation results show that the strategy can reduce the frequency fluctuation by more than $30 \%$ while ensuring the economy, and provide theoretical support for the stable operation of high proportion renewable energy power system.

Institute of Computing Technology (CN)
Openalex Percentile: Top 75%
Power Systems and Renewable Energy
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