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Generic maximum power point tracking controller for small-scale wind turbines

Author

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  • Narayana, M.
  • Putrus, G.A.
  • Jovanovic, M.
  • Leung, P.S.
  • McDonald, S.

Abstract

The output power of a wind energy conversion system (WECS) is maximized if the wind rotor is driven at an optimal rotational speed for a particular wind speed. To achieve this, a Maximum Power Point Tracking (MPPT) controller is usually used. A successful implementation of the MPPT controller requires knowledge of the turbine dynamics and instantaneous measurements of the wind speed and rotor speed. To obtain the optimal operating point, rotor-generator characteristics should be known and these are different from one system to another. Therefore, there is a need for an efficient universal MPPT controller for WECS to operate without predetermined characteristics. MPPT control of WECSs becomes difficult due to fluctuation of wind speed and wind rotor inertia. This issue is analyzed in the paper, and an Adaptive Filter together with a Fuzzy Logic based MPPT controller suitable for small-scale WECSs is proposed. The proposed controller can be implemented without predetermined WECS characteristics.

Suggested Citation

  • Narayana, M. & Putrus, G.A. & Jovanovic, M. & Leung, P.S. & McDonald, S., 2012. "Generic maximum power point tracking controller for small-scale wind turbines," Renewable Energy, Elsevier, vol. 44(C), pages 72-79.
    • Handle: RePEc:eee:renene:v:44:y:2012:i:c:p:72-79
    DOI: 10.1016/j.renene.2011.12.015
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    References listed on IDEAS

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    6. Sinhara M. H. D. Perera & Ghanim Putrus & Michael Conlon & Mahinsasa Narayana & Keith Sunderland, 2022. "Wind Energy Harvesting and Conversion Systems: A Technical Review," Energies, MDPI, vol. 15(24), pages 1-34, December.
    7. Wang, Longyan & Luo, Wei & Xu, Jian & Xie, Junhang & Luo, Zhaohui & Tan, Andy C.C., 2022. "Comparative study of decentralized instantaneous and wind-interval-based controls for in-line two scale wind turbines," Renewable Energy, Elsevier, vol. 189(C), pages 1218-1233.
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    10. Suganthi, L. & Iniyan, S. & Samuel, Anand A., 2015. "Applications of fuzzy logic in renewable energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 585-607.
    11. Khakpour Nejadkhaki, Hamid & Chaudhari, Swanil & Hall, John F., 2018. "A design methodology for selecting ratios for a variable ratio gearbox used in a wind turbine with active blades," Renewable Energy, Elsevier, vol. 118(C), pages 1041-1051.
    12. Dali, Ali & Abdelmalek, Samir & Bakdi, Azzeddine & Bettayeb, Maamar, 2021. "A new robust control scheme: Application for MPP tracking of a PMSG-based variable-speed wind turbine," Renewable Energy, Elsevier, vol. 172(C), pages 1021-1034.
    13. Urtasun, Andoni & Sanchis, Pablo & San Martín, Idoia & López, Jesús & Marroyo, Luis, 2013. "Modeling of small wind turbines based on PMSG with diode bridge for sensorless maximum power tracking," Renewable Energy, Elsevier, vol. 55(C), pages 138-149.
    14. Dixon, Christopher & Reynolds, Steve & Rodley, David, 2016. "Micro/small wind turbine power control for electrolysis applications," Renewable Energy, Elsevier, vol. 87(P1), pages 182-192.
    15. Rocha, P. A. Costa & Rocha, H. H. Barbosa & Carneiro, F. O. Moura & da Silva, M. E. Vieira & de Andrade, C. Freitas, 2016. "A case study on the calibration of the k–ω SST (shear stress transport) turbulence model for small scale wind turbines designed with cambered and symmetrical airfoils," Energy, Elsevier, vol. 97(C), pages 144-150.
    16. De Kooning, Jeroen D.M. & Vandoorn, Tine L. & Van de Vyver, Jan & Meersman, Bart & Vandevelde, Lieven, 2016. "Displacement of the maximum power point caused by losses in wind turbine systems," Renewable Energy, Elsevier, vol. 85(C), pages 273-280.
    17. Kortabarria, Iñigo & Andreu, Jon & Martínez de Alegría, Iñigo & Jiménez, Jaime & Gárate, José Ignacio & Robles, Eider, 2014. "A novel adaptative maximum power point tracking algorithm for small wind turbines," Renewable Energy, Elsevier, vol. 63(C), pages 785-796.
    18. Seixas, M. & Melício, R. & Mendes, V.M.F. & Couto, C., 2016. "Blade pitch control malfunction simulation in a wind energy conversion system with MPC five-level converter," Renewable Energy, Elsevier, vol. 89(C), pages 339-350.
    19. Aubrée, René & Auger, François & Macé, Michel & Loron, Luc, 2016. "Design of an efficient small wind-energy conversion system with an adaptive sensorless MPPT strategy," Renewable Energy, Elsevier, vol. 86(C), pages 280-291.
    20. Narayana, Mahinsasa & Sunderland, Keith M. & Putrus, Ghanim & Conlon, Michael F., 2017. "Adaptive linear prediction for optimal control of wind turbines," Renewable Energy, Elsevier, vol. 113(C), pages 895-906.

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