Journal of System Simulation
Abstract
Taking a grid-connected direct-drive wind turbine system as an example, a comprehensive model is developed that incorporates nonlinear elements such as prime mover control, machine-side and grid-side converter control, multiple limiters, and control switching. A nonlinear oscillation pattern identification method based on density clustering and manual identification is proposed. The results show that the proposed method can efficiently identify various typical patterns, including quasi-constant amplitude oscillations, period-doubling oscillations, and chaotic oscillations. Oscillations dominated by nonlinear factors such as control switching, limiter collision, and limiter saturation are essentially caused by the transition of the associated components from passive responses to active sources of oscillations, which inject energy into the system through nonsmooth or asymmetric characteristics. Period-doubling oscillations are closely related to the asymmetry of pitch rate limiting and the coupling of multiple limiters.
Recommended Citation
Wen, Libin; Tang, Shaopu; Hu, Xianfa; Xi, Jinji; Zhang, Tongtong; Hu, Hong; and Zhang, Weijie
(2026)
"Pattern Identification and Mechanism Analysis of Nonlinear Oscillations in Grid-connected Direct-drive Wind Turbines,"
Journal of System Simulation: Vol. 38:
Iss.
6, Article 19.
DOI: 10.16182/j.issn1004731x.joss.25-0611
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol38/iss6/19
First Page
1734
Last Page
1748
CLC
TP391.9
Recommended Citation
Wen Libin, Tang Shaopu, Hu Xianfa, et al. Pattern Identification and Mechanism Analysis of Nonlinear Oscillations in Grid-connected Direct-drive Wind Turbines[J]. Journal of System Simulation, 2026, 38(6): 1734-1748.
DOI
10.16182/j.issn1004731x.joss.25-0611
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