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Design of an efficient small wind-energy conversion system with an adaptive sensorless MPPT strategy

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  • Aubrée, René
  • Auger, François
  • Macé, Michel
  • Loron, Luc

Abstract

This paper presents an original method for the sensorless Maximum Power Point Tracking (MPPT) of a small power wind turbine using a permanent magnet synchronous generator (PMSG) to supply a DC load. This method does neither require to measure the wind speed nor to know the turbine parameters. After a presentation of the energy conversion chain (wind turbine and PMSG), we first derive an analysis of its energy efficiency. This analysis shows that the highest power at the output of the turbine and the highest power supplied to the load are not obtained at the same rotor speed. This clearly shows the interest to maximize the power supplied to the load rather than to track the maximum power at the output of the turbine deduced from its theoretical power coefficient Cp, and the interest to use an active three-phase rectifier combined with a field oriented control of the PMSG. We then describe the proposed MPPT process and the speed estimator used to design a sensorless MPPT. Simulation results demonstrate the feasibility of the proposed approach.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:86:y:2016:i:c:p:280-291
    DOI: 10.1016/j.renene.2015.07.091
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    References listed on IDEAS

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    1. Brahmi, Jemaa & Krichen, Lotfi & Ouali, Abderrazak, 2009. "A comparative study between three sensorless control strategies for PMSG in wind energy conversion system," Applied Energy, Elsevier, vol. 86(9), pages 1565-1573, September.
    2. 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.
    3. 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.
    4. Abdullah, M.A. & Yatim, A.H.M. & Tan, C.W. & Saidur, R., 2012. "A review of maximum power point tracking algorithms for wind energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3220-3227.
    5. Munteanu, Iulian & Bratcu, Antoneta Iuliana & Ceangǎ, Emil, 2009. "Wind turbulence used as searching signal for MPPT in variable-speed wind energy conversion systems," Renewable Energy, Elsevier, vol. 34(1), pages 322-327.
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    Cited by:

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    2. Mohammad Haidar & Hussein Chible & Corrado Boragno & Daniele D. Caviglia, 2021. "A Low Power AC/DC Interface for Wind-Powered Sensor Nodes," Energies, MDPI, vol. 14(7), pages 1-14, March.
    3. Jeongjin Yeo & Taeyoung Kim & Jae Kyung Jang & Yoonseok Yang, 2018. "Practical Maximum-Power Extraction in Single Microbial Fuel Cell by Effective Delivery through Power Management System," Energies, MDPI, vol. 11(9), pages 1-11, September.
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    6. Tania García-Sánchez & Arbinda Kumar Mishra & Elías Hurtado-Pérez & Rubén Puché-Panadero & Ana Fernández-Guillamón, 2020. "A Controller for Optimum Electrical Power Extraction from a Small Grid-Interconnected Wind Turbine," Energies, MDPI, vol. 13(21), pages 1-16, November.
    7. Fathabadi, Hassan, 2016. "Novel high-efficient unified maximum power point tracking controller for hybrid fuel cell/wind systems," Applied Energy, Elsevier, vol. 183(C), pages 1498-1510.
    8. Karabacak, Murat, 2019. "A new perturb and observe based higher order sliding mode MPPT control of wind turbines eliminating the rotor inertial effect," Renewable Energy, Elsevier, vol. 133(C), pages 807-827.
    9. Fantino, Roberto & Solsona, Jorge & Busada, Claudio, 2016. "Nonlinear observer-based control for PMSG wind turbine," Energy, Elsevier, vol. 113(C), pages 248-257.
    10. Lilis Yuaningsih & R. Adjeng Mariana Febrianti & Hafiz Waqas Kamran, 2020. "Reducing CO2 Emissions through Biogas, Wind and Solar Energy Production: Evidence from Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 684-689.

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