Optimizing the configuration of grid-forming and grid-following control in doubly-fed wind farms considering machine-side dynamics

Abstract With the growing integration of renewable energy, particularly wind power, into power systems, the effectiveness of wind farms in supporting grid stability is increasingly critical. Traditional grid-following (GFL) controls often fall short in weak grids with low short-circuit ratios (SCR), leading to stability issues. In contrast, grid-forming (GFM) controls, which simulate synchronous machine behavior, offer enhanced grid support and stability. This study investigates the optimization of control strategies for doubly-fed induction generator (DFIG) wind farms by comparing four configurations—grid-following DFIGs, grid-side GFM DFIGs, machine-side GFM DFIGs, and doubly grid-forming DFIGs. Through MATLAB/Simulink simulations, the study finds that doubly grid-forming DFIGs provide superior stability and grid support under low SCR conditions. These findings inform optimal configuration practices for wind farms in high-renewable-energy environments.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2024-11-01
DOI
https://doi.org/10.1088/1742-6596/2902/1/012048
Primary Topic
Microgrid Control and Optimization
Type
article
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article

Optimizing the configuration of grid-forming and grid-following control in doubly-fed wind farms considering machine-side dynamics

JinWoo Hong, Yan Chen, Ge Tang, Shuang Chen et al.
Journal of Physics Conference Series
Microgrid Control and Optimization
article

Optimizing the configuration of grid-forming and grid-following control in doubly-fed wind farms considering machine-side dynamics

JinWoo Hong, Yan Chen, Ge Tang, Shuang Chen, Yanming Chen
article en

Abstract

Abstract With the growing integration of renewable energy, particularly wind power, into power systems, the effectiveness of wind farms in supporting grid stability is increasingly critical. Traditional grid-following (GFL) controls often fall short in weak grids with low short-circuit ratios (SCR), leading to stability issues. In contrast, grid-forming (GFM) controls, which simulate synchronous machine behavior, offer enhanced grid support and stability. This study investigates the optimization of control strategies for doubly-fed induction generator (DFIG) wind farms by comparing four configurations—grid-following DFIGs, grid-side GFM DFIGs, machine-side GFM DFIGs, and doubly grid-forming DFIGs. Through MATLAB/Simulink simulations, the study finds that doubly grid-forming DFIGs provide superior stability and grid support under low SCR conditions. These findings inform optimal configuration practices for wind farms in high-renewable-energy environments.

Journal of Physics Conference SeriesVol. 2902(1)
Guangxi University (CN)
Affordable and clean energy
Openalex Percentile: Top 73%
Microgrid Control and Optimization
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