Collaborative Control Strategy of Wind Farms for Frequency Support Considering the Frequency Distribution Characteristic

The lack of power system inertia caused by the large-scale integration of renewable energy seriously threatens frequency stability. In this paper, a control strategy for collaborating multiple wind farms in frequency support considering the frequency distribution characteristic is presented. Firstly, the DC power flow analysis model of the power system is established, the analytical relation between the node frequency and the active power disturbance is derived, and the system frequency distribution characteristic is mathematically analyzed. Secondly, based on the frequency distribution characteristic, a control strategy for collaborating multiple wind farms using virtual inertia control and droop control to provide frequency support is presented. Finally, the four-machine two-area system integrated with two wind farms is implemented in Matlab 2020, and the effectiveness of the proposed collaborative control strategy for frequency support is validated through simulation results.

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Publication Details

Journal
Electronics
Published
2026-02-13
DOI
https://doi.org/10.3390/electronics15040820
Primary Topic
Wind Turbine Control Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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Collaborative Control Strategy of Wind Farms for Frequency Support Considering the Frequency Distribution Characteristic

Xiangming Dong, Zeya Fang, Junzhi Ren, Yan Zhang et al.
Electronics
Wind Turbine Control Systems
article

Collaborative Control Strategy of Wind Farms for Frequency Support Considering the Frequency Distribution Characteristic

Xiangming Dong, Zeya Fang, Junzhi Ren, Yan Zhang, Jiawei Hu
article en

Abstract

The lack of power system inertia caused by the large-scale integration of renewable energy seriously threatens frequency stability. In this paper, a control strategy for collaborating multiple wind farms in frequency support considering the frequency distribution characteristic is presented. Firstly, the DC power flow analysis model of the power system is established, the analytical relation between the node frequency and the active power disturbance is derived, and the system frequency distribution characteristic is mathematically analyzed. Secondly, based on the frequency distribution characteristic, a control strategy for collaborating multiple wind farms using virtual inertia control and droop control to provide frequency support is presented. Finally, the four-machine two-area system integrated with two wind farms is implemented in Matlab 2020, and the effectiveness of the proposed collaborative control strategy for frequency support is validated through simulation results.

ElectronicsVol. 15(4)
North China Electric Power University (CN), State Grid Corporation of China (China) (CN), Tianjin Research Institute of Electric Science (China) (CN)
Science and Technology Project of State Grid
Affordable and clean energy
Openalex Percentile: Top 56%
Wind Turbine Control Systems
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