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Research on the Torque Density Optimization of a Semi-Embedded Permanent Magnet Wind Turbine Based on the Non-Dominated Sorting Genetic Algorithm II and Magnetic Pole Offset

Author

Listed:
  • Wei Li

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Dongrui Wang

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Zuoxia Xing

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Changjie Sun

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

Abstract

To improve the torque density (TD) of a permanent magnet wind turbine (PMWT), this paper proposes a magnetic pole offset semi-embedded structure based on the traditional semi-embedded structure. Firstly, the principle of how magnetic pole offset can increase the torque is explained. Then, based on the non-dominated sorting genetic algorithm II (NSGA-II), the ratio k of the inner and outer diameters of the stator is optimized to make the motor quality and efficiency reach the best state. On this basis, the TD is further optimized by utilizing the magnetic pole offset angle. The results show that when the magnetic pole offset angle is 0.5°, the TD reaches the maximum value of 13.95 Nm/kg, with an increase of 3.33%. Finally, the no-load performance and load performance of the two structures are compared to highlight the advantages of the magnetic pole offset structure.

Suggested Citation

  • Wei Li & Dongrui Wang & Zuoxia Xing & Changjie Sun, 2024. "Research on the Torque Density Optimization of a Semi-Embedded Permanent Magnet Wind Turbine Based on the Non-Dominated Sorting Genetic Algorithm II and Magnetic Pole Offset," Energies, MDPI, vol. 17(24), pages 1-13, December.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:24:p:6415-:d:1548106
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    References listed on IDEAS

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    1. Shayan, Mostafa Esmaeili & Najafi, Gholamhassan & Ghobadian, Barat & Gorjian, Shiva & Mamat, Rizalman & Ghazali, Mohd Fairusham, 2022. "Multi-microgrid optimization and energy management under boost voltage converter with Markov prediction chain and dynamic decision algorithm," Renewable Energy, Elsevier, vol. 201(P2), pages 179-189.
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