Parameter identification method of double-fed fan with low-pass control timing characteristics

Abstract With the large-scale grid connection of doubly-fed wind turbines, the influence of their low-voltage ride-through (LVRT) characteristics on the power grid stability is increasingly prominent. In view of the distortion of external characteristics caused by the black box characteristics of the converter, this study proposes a parameter identification method for the double-fed wind turbine. Firstly, a high-precision dynamic model is established considering the timing control strategy during low wear, and the transient response mechanism of the unit is clarified. On this basis, the trajectory sensitivity technology is adopted to select characteristic parameters. A hierarchical identification framework is constructed in multi-operation scenarios, and the global optimization of control parameters is realized by integrating multi-source measured data. In order to verify the effectiveness of the method, the output characteristic comparison experiment of different voltage drop depths is carried out. The simulation results prove that the proposed method can accurately reproduce the external characteristic response of the actual double-fed unit.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-08-01
DOI
https://doi.org/10.1088/1742-6596/3079/1/012043
Primary Topic
Turbomachinery Performance and Optimization
Type
article
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article

Parameter identification method of double-fed fan with low-pass control timing characteristics

Chao Wang, Wansong Liu, Di Che, Xinwei Li et al.
Journal of Physics Conference Series
Turbomachinery Performance and Optimization
article

Parameter identification method of double-fed fan with low-pass control timing characteristics

Chao Wang, Wansong Liu, Di Che, Xinwei Li, Xiaoheng Zhang
article en

Abstract

Abstract With the large-scale grid connection of doubly-fed wind turbines, the influence of their low-voltage ride-through (LVRT) characteristics on the power grid stability is increasingly prominent. In view of the distortion of external characteristics caused by the black box characteristics of the converter, this study proposes a parameter identification method for the double-fed wind turbine. Firstly, a high-precision dynamic model is established considering the timing control strategy during low wear, and the transient response mechanism of the unit is clarified. On this basis, the trajectory sensitivity technology is adopted to select characteristic parameters. A hierarchical identification framework is constructed in multi-operation scenarios, and the global optimization of control parameters is realized by integrating multi-source measured data. In order to verify the effectiveness of the method, the output characteristic comparison experiment of different voltage drop depths is carried out. The simulation results prove that the proposed method can accurately reproduce the external characteristic response of the actual double-fed unit.

Journal of Physics Conference SeriesVol. 3079(1)
Shenyang Institute of Engineering (CN), Shanghai Electric (China) (CN)
Openalex Percentile: Top 72%
Turbomachinery Performance and Optimization
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Parameter identification method of double-fed fan with low-pass control timing characteristics — Chao Wang, Wansong Liu, et al. · Journal of Physics Conference Series (2025) | TGRS Research Map | TGRS