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On the Design and Topology Selection of Permanent Magnet Synchronous Generators for Natural Impedance Matching in Small-Scale Uncontrolled Passive Wind Generator Systems

Author

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  • Casper J. J. Labuschagne

    (Department of Electrical and Electronic Engineering, Stellenbosch University, Stellenbosch 7600, South Africa)

  • Maarten J. Kamper

    (Department of Electrical and Electronic Engineering, Stellenbosch University, Stellenbosch 7600, South Africa)

Abstract

Small-scale uncontrolled passive wind generator systems are an attractive solution for rural energy generation because of the system’s reliability and low cost. However, designing these uncontrolled wind generators for good power matching with the wind turbine is challenging and often requires external impedance matching. In this paper, permanent magnet generators with different stator and rotor structures were investigated and designed to increase the generator’s synchronous inductance for a natural impedance matching. For the design methodology, multi-objective optimisation was used to design the generators for near-maximum turbine power matching, whereby internal impedance matching was reached as much as possible. It was shown that altering the placement and orientation of the permanent magnets in the rotor is a viable method to achieve the desired impedance matching; however, these generators do not have the best performance. It was found that the surface-mounted permanent magnet generator with semi-closed slots was the optimum topology. An optimised generator prototype was tested for the experimental validation. All designs were verified by comparing the results of 2D and 3D finite-element analysis.

Suggested Citation

  • Casper J. J. Labuschagne & Maarten J. Kamper, 2022. "On the Design and Topology Selection of Permanent Magnet Synchronous Generators for Natural Impedance Matching in Small-Scale Uncontrolled Passive Wind Generator Systems," Energies, MDPI, vol. 15(5), pages 1-23, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1888-:d:763802
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    References listed on IDEAS

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    1. Sareni, B. & Abdelli, A. & Roboam, X. & Tran, D.H., 2009. "Model simplification and optimization of a passive wind turbine generator," Renewable Energy, Elsevier, vol. 34(12), pages 2640-2650.
    2. Arifujjaman, Md. & Iqbal, M.T. & Quaicoe, J.E., 2009. "Reliability analysis of grid connected small wind turbine power electronics," Applied Energy, Elsevier, vol. 86(9), pages 1617-1623, September.
    3. Henda Zorgani Agrebi & Naourez Benhadj & Mohamed Chaieb & Farooq Sher & Roua Amami & Rafik Neji & Neil Mansfield, 2021. "Integrated Optimal Design of Permanent Magnet Synchronous Generator for Smart Wind Turbine Using Genetic Algorithm," Energies, MDPI, vol. 14(15), pages 1-20, July.
    4. Vladimir Dmitrievskii & Vladimir Prakht & Vadim Kazakbaev, 2019. "Design Optimization of a Permanent-Magnet Flux-Switching Generator for Direct-Drive Wind Turbines," Energies, MDPI, vol. 12(19), pages 1-15, September.
    5. Alnasir, Zuher & Kazerani, Mehrdad, 2013. "An analytical literature review of stand-alone wind energy conversion systems from generator viewpoint," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 597-615.
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