Journal of System Simulation ›› 2026, Vol. 38 ›› Issue (6): 1734-1748.doi: 10.16182/j.issn1004731x.joss.25-0611

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Pattern Identification and Mechanism Analysis of Nonlinear Oscillations in Grid-connected Direct-drive Wind Turbines

Wen Libin1,3, Tang Shaopu2, Hu Xianfa2, Xi Jinji1,3, Zhang Tongtong2, Hu Hong1,3, Zhang Weijie2   

  1. 1.Electric Power Research Institute, Guangxi Power Grid Co. , Ltd. , Nanning 530023, China
    2.Tsinghua University, Beijing 100084, China
    3.Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment, Nanning 530023, China
  • Received:2025-06-27 Revised:2025-09-29 Online:2026-06-25 Published:2026-06-25
  • Contact: Tang Shaopu

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.

Key words: saturation limiting, control switching, nonlinear oscillation, density clustering, stability phenomena identification, batch time-domain simulation, mechanism analysis

CLC Number: