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A novel-strategy controller design for maximum power extraction in stand-alone windmill systems

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  • Ganjefar, Soheil
  • Ghasemi, Ali Akbar

Abstract

This paper proposes a new control strategy for an optimal extraction of output power from stand-alone windmill systems. The system consists of a variable-speed wind turbine directly coupled to a PMSG (permanent magnet synchronous generator), a diode bridge rectifier, a DC-to-DC boost converter, and a battery bank. This control method, with its higher speed, directly creates a control signal for handling DC-to-DC converters. Adding an ESN (echo state network) to this method can result in extracting maximum power from the wind turbine without measuring the wind speed. This system is then simulated using MATLAB-SIMULINK software. The obtained simulation results show that the objective of extracting maximum power from the wind is reached.

Suggested Citation

  • Ganjefar, Soheil & Ghasemi, Ali Akbar, 2014. "A novel-strategy controller design for maximum power extraction in stand-alone windmill systems," Energy, Elsevier, vol. 76(C), pages 326-335.
    • Handle: RePEc:eee:energy:v:76:y:2014:i:c:p:326-335
    DOI: 10.1016/j.energy.2014.08.024
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    References listed on IDEAS

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    5. Ganjefar, Soheil & Ghassemi, Ali Akbar & Ahmadi, Mohamad Mehdi, 2014. "Improving efficiency of two-type maximum power point tracking methods of tip-speed ratio and optimum torque in wind turbine system using a quantum neural network," Energy, Elsevier, vol. 67(C), pages 444-453.
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    Cited by:

    1. Gu, Ya-jing & Yin, Xiu-xing & Liu, Hong-wei & Li, Wei & Lin, Yong-gang, 2015. "Fuzzy terminal sliding mode control for extracting maximum marine current energy," Energy, Elsevier, vol. 90(P1), pages 258-265.
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    4. Ganjefar, Soheil & Mohammadi, Ali, 2016. "Variable speed wind turbines with maximum power extraction using singular perturbation theory," Energy, Elsevier, vol. 106(C), pages 510-519.

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