Stability Analysis and Enhanced Control of Wind Turbine Generators Based on Hybrid GFL-GFM Control

Sijia Huang, Zhenbin Zhang (), Zhihao Chen, Huimin Huang and Zhen Li
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Sijia Huang: School of Electrical Engineering, Shandong University, Jinan 250061, China
Zhenbin Zhang: School of Electrical Engineering, Shandong University, Jinan 250061, China
Zhihao Chen: School of Electrical Engineering, Shandong University, Jinan 250061, China
Huimin Huang: School of Electrical Engineering, Shandong University, Jinan 250061, China
Zhen Li: School of Electrical Engineering, Shandong University, Jinan 250061, China

Energies, 2025, vol. 18, issue 17, 1-21

Abstract: With the proliferation of wind power generation, the receiving end grids exhibit unprecedented dynamic characteristics, imposing critical stability challenges on grid-connected wind turbine’s converter. To address this, wind turbine converter control strategies have evolved beyond traditional grid-following (GFL) methods to include grid-forming (GFM), mode-switching, and hybrid GFL-GFM controls. This paper establishes a small-signal model for hybrid GFL-GFM-controlled wind turbines to analyze stability at varying grid strengths, guiding the selection of coefficients in hybrid mode. Simulation tests validate the theoretical framework.

Keywords: grid-following; grid-forming; sequence impedance modeling; small-signal stability (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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