Transient Synchronization Stability Analysis of DFIG-Based Wind Turbines with Virtual Resistance Demagnetization Control

With the increasing penetration of wind power, the transient synchronization stability of doubly fed induction generator (DFIG)-based wind turbines during grid faults has become a critical issue. While conventional fault ride-through methods like Crowbar protection can ensure safety, they compromise system controllability and worsen grid voltage conditions. Virtual resistance demagnetization control has emerged as a promising alternative due to its simple structure and effective flux damping. However, its impact on transient synchronization stability has not been revealed in existing studies. To fill this gap, this paper presents a comprehensive analysis of the transient synchronization stability of DFIG systems under virtual resistance control, introducing a novel fourth-order transient synchronization model that explicitly captures the coupling between the virtual resistance demagnetization control and phase-locked loop (PLL) dynamics. The model reveals the emergence of transient power and positive damping terms induced by the virtual resistance, which play a pivotal role in stabilizing the system. Furthermore, this work theoretically investigates how the virtual resistance and current loop’s proportional-integral (PI) parameters jointly influence transient stability, demonstrating that increasing the virtual resistance while reducing the integral gain of the current loop significantly enhances synchronization stability. Simulation results validate the accuracy of the model and the effectiveness of the proposed analysis. The findings provide a theoretical foundation for optimizing control parameters and improving the stability of DFIG-based wind turbines during grid faults.

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Publication Details

Journal
Electronics
Published
2026-01-21
DOI
https://doi.org/10.3390/electronics15020467
Primary Topic
Microgrid Control and Optimization
Type
article
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article

Transient Synchronization Stability Analysis of DFIG-Based Wind Turbines with Virtual Resistance Demagnetization Control

Chao Jun Wu, Xiaofei Chang, Zhanqi Huang, Ming Yan et al.
Electronics
Microgrid Control and Optimization
article

Transient Synchronization Stability Analysis of DFIG-Based Wind Turbines with Virtual Resistance Demagnetization Control

Chao Jun Wu, Xiaofei Chang, Zhanqi Huang, Ming Yan, Xiaohe Wang
article en

Abstract

With the increasing penetration of wind power, the transient synchronization stability of doubly fed induction generator (DFIG)-based wind turbines during grid faults has become a critical issue. While conventional fault ride-through methods like Crowbar protection can ensure safety, they compromise system controllability and worsen grid voltage conditions. Virtual resistance demagnetization control has emerged as a promising alternative due to its simple structure and effective flux damping. However, its impact on transient synchronization stability has not been revealed in existing studies. To fill this gap, this paper presents a comprehensive analysis of the transient synchronization stability of DFIG systems under virtual resistance control, introducing a novel fourth-order transient synchronization model that explicitly captures the coupling between the virtual resistance demagnetization control and phase-locked loop (PLL) dynamics. The model reveals the emergence of transient power and positive damping terms induced by the virtual resistance, which play a pivotal role in stabilizing the system. Furthermore, this work theoretically investigates how the virtual resistance and current loop’s proportional-integral (PI) parameters jointly influence transient stability, demonstrating that increasing the virtual resistance while reducing the integral gain of the current loop significantly enhances synchronization stability. Simulation results validate the accuracy of the model and the effectiveness of the proposed analysis. The findings provide a theoretical foundation for optimizing control parameters and improving the stability of DFIG-based wind turbines during grid faults.

ElectronicsVol. 15(2)
Shanghai Jiao Tong University (CN), PowerChina (China) (CN), Powerchina Huadong Engineering Corporation (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 79%
Microgrid Control and Optimization
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