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Review of the Modern Maximum Power Tracking Algorithms for Permanent Magnet Synchronous Generator of Wind Power Conversion Systems

Author

Listed:
  • Xuan Chau Le

    (Naval Academy, 30 Tran Phu Street, Nha Trang City 550000, Vietnam)

  • Minh Quan Duong

    (Faculty of Electrical Engineering, The University of Da Nang, University of Science and Technology, 54 Nguyen Luong Bang Street, Lien Chieu District, Da Nang 550000, Vietnam)

  • Kim Hung Le

    (Faculty of Electrical Engineering, The University of Da Nang, University of Science and Technology, 54 Nguyen Luong Bang Street, Lien Chieu District, Da Nang 550000, Vietnam)

Abstract

Wind energy conversion systems (WECSs) are considered green generators, environmentally friendly, and fully suitable energy sources to replace fossil energy sources. WECS’s output power is hugely dependent on the random nature of the wind. There are many solutions to improve the output power for WECSs, such as adjusting the profile of turbine blades, locating installation places, improving generators, etc. Nevertheless, maximum power point tracking (MPPT) algorithms for WECSs are optimal and the most effective because they are flexible in controlling different variable wind speeds and match all types of WECS. The parameters on the generator side control or the grid side control will be adjusted when MPPT algorithms are used, allowing the output power of WECSs to be maximized while maintaining stability in variable-speed wind. There are various MPPT algorithms, but the current problem is their efficiency and whether it requires deep knowledge to select the best MPPT solutions because each method has different advantages and disadvantages. This study has implemented an overview of modern maximum power tracking algorithms applied to permanent magnet synchronous generators in WECS with MPP methods based on speed convergence, efficiency, self-training, complexity, and measurement of wind parameters.

Suggested Citation

  • Xuan Chau Le & Minh Quan Duong & Kim Hung Le, 2022. "Review of the Modern Maximum Power Tracking Algorithms for Permanent Magnet Synchronous Generator of Wind Power Conversion Systems," Energies, MDPI, vol. 16(1), pages 1-25, December.
    • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:402-:d:1019179
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    References listed on IDEAS

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