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A sensorless control method for variable-speed small wind turbines

Author

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  • Şerban, I.
  • Marinescu, C.

Abstract

This paper describes an integrated sensorless control method for small variable-speed, fixed-pitch wind turbines with direct-drive permanent magnet synchronous generator (PMSG), which covers both partial- and full-load operation modes. In partial-load regime, the control system aims to maximize the wind energy conversion by keeping the wind turbine on its optimal power-speed characteristic, while in the full-load regime, when the generator reaches the rated power, the control acts over the rotor speed to create the condition of aerodynamic stall, and thus the output power is substantially reduced. Two PI controllers act on the generator speed and output power by measuring only two DC electrical quantities, i.e. voltage and current. The simulations accomplished with a reduced model and the experiments on a 2.2 kW laboratory test bench assess the effectiveness of the proposed control system. The results emphasize the performance of the proposed solution while also showing its limitations.

Suggested Citation

  • Şerban, I. & Marinescu, C., 2012. "A sensorless control method for variable-speed small wind turbines," Renewable Energy, Elsevier, vol. 43(C), pages 256-266.
    • Handle: RePEc:eee:renene:v:43:y:2012:i:c:p:256-266
    DOI: 10.1016/j.renene.2011.12.018
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    References listed on IDEAS

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    1. Kesraoui, M. & Korichi, N. & Belkadi, A., 2011. "Maximum power point tracker of wind energy conversion system," Renewable Energy, Elsevier, vol. 36(10), pages 2655-2662.
    2. Li, H. & Chen, Z., 2009. "Design optimization and site matching of direct-drive permanent magnet wind power generator systems," Renewable Energy, Elsevier, vol. 34(4), pages 1175-1184.
    3. Baroudi, Jamal A. & Dinavahi, Venkata & Knight, Andrew M., 2007. "A review of power converter topologies for wind generators," Renewable Energy, Elsevier, vol. 32(14), pages 2369-2385.
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    Citations

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    Cited by:

    1. Abdelhakim Tighirt & Mohamed Aatabe & Fatima El Guezar & Hassane Bouzahir & Alessandro N. Vargas & Gabriele Neretti, 2024. "A New Stochastic Controller for Efficient Power Extraction from Small-Scale Wind Energy Conversion Systems under Random Load Consumption," Energies, MDPI, vol. 17(19), pages 1-27, October.
    2. 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.
    3. Prieto-Araujo, E. & Olivella-Rosell, P. & Cheah-Mañe, M. & Villafafila-Robles, R. & Gomis-Bellmunt, O., 2015. "Renewable energy emulation concepts for microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 325-345.
    4. Bertašienė, Agnė & Azzopardi, Brian, 2015. "Synergies of Wind Turbine control techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 336-342.
    5. Bracco, Stefano & Delfino, Federico & Pampararo, Fabio & Robba, Michela & Rossi, Mansueto, 2013. "The University of Genoa smart polygeneration microgrid test-bed facility: The overall system, the technologies and the research challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 442-459.
    6. 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.

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