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A Novel Method to Magnetic Flux Linkage Optimization of Direct-Driven Surface-Mounted Permanent Magnet Synchronous Generator Based on Nonlinear Dynamic Analysis

Author

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  • Qian Xie

    (State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Yanbin Zhang

    (State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Yanan Yu

    (State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Gangquan Si

    (State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Ningning Yang

    (Institute of Water Resources and Hydro-electric Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Longfei Luo

    (State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

Abstract

This paper pays attention to magnetic flux linkage optimization of a direct-driven surface-mounted permanent magnet synchronous generator (D-SPMSG). A new compact representation of the D-SPMSG nonlinear dynamic differential equations to reduce system parameters is established. Furthermore, the nonlinear dynamic characteristics of new D-SPMSG equations in the process of varying magnetic flux linkage are considered, which are illustrated by Lyapunov exponent spectrums, phase orbits, Poincaré maps, time waveforms and bifurcation diagrams, and the magnetic flux linkage stable region of D-SPMSG is acquired concurrently. Based on the above modeling and analyses, a novel method of magnetic flux linkage optimization is presented. In addition, a 2 MW D-SPMSG 2D/3D model is designed by ANSYS software according to the practical design requirements. Finally, five cases of D-SPMSG models with different magnetic flux linkages are simulated by using the finite element analysis (FEA) method. The nephograms of magnetic flux density are agreement with theoretical analysis, which both confirm the correctness and effectiveness of the proposed approach.

Suggested Citation

  • Qian Xie & Yanbin Zhang & Yanan Yu & Gangquan Si & Ningning Yang & Longfei Luo, 2016. "A Novel Method to Magnetic Flux Linkage Optimization of Direct-Driven Surface-Mounted Permanent Magnet Synchronous Generator Based on Nonlinear Dynamic Analysis," Energies, MDPI, vol. 9(7), pages 1-20, July.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:7:p:557-:d:74212
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    References listed on IDEAS

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    1. Xie, Qian & Si, Gangquan & Zhang, Yanbin & Yuan, Yiwei & Yao, Rui, 2016. "Finite-time synchronization and identification of complex delayed networks with Markovian jumping parameters and stochastic perturbations," Chaos, Solitons & Fractals, Elsevier, vol. 86(C), pages 35-49.
    2. Chen, Diyi & Liu, Si & Ma, Xiaoyi, 2013. "Modeling, nonlinear dynamical analysis of a novel power system with random wind power and it's control," Energy, Elsevier, vol. 53(C), pages 139-146.
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    Cited by:

    1. Yanling Lv & Yizhi Du & Qi Liu & Shiqiang Hou & Jie Zhang, 2019. "Study and Stability Analysis of Leading Phase Operation of a Large Synchronous Generator," Energies, MDPI, vol. 12(6), pages 1-14, March.

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