Optimized Wind Turbine Emulator based on an AC to DC Motor Generator Set

Authors

  • Yahya Aljarhizi Laboratory of Materials and Subatomic Physics, Faculty of Sciences, Ibn Tofail University, Morocco
  • Ayoub Nouaiti Laboratory of Computer Science, Applied Math and Electrical Engineering Department, Moulay Ismail University, IEVIA Team, Morocco
  • Elmehdi Al Ibrahmi Laboratory of Materials and Subatomic Physics, Faculty of Sciences, Ibn Tofail University, Morocco
  • Chaymaa Boutahiri Laboratory of Computer Science, Applied Math and Electrical Engineering Department, Moulay Ismail University, IEVIA Team, Morocco
  • Abdelilah Hassoune Laboratory of Energy & Electrical Systems, Ecole Nationale Supérieure d’Electricite et de Mecanique, Morocco | Hassan II University of Casablanca, Morocco
  • Abdelouahed Mesbahi Laboratory of Energy & Electrical Systems, Ecole Nationale Supérieure d’Electricite et de Mecanique, Morocco | Hassan II University of Casablanca, Morocco
Volume: 13 | Issue: 2 | Pages: 10559-10564 | April 2023 | https://doi.org/10.48084/etasr.5775

Abstract

This study presents an Optimized Wind Turbine Emulator (OWTE) based on a DC generator driven by a three-phase Induction Motor (IM). The IM speed is varied using an AC drive that converts fixed RMS voltage and frequency to variable ones due to v/f control. The frequency reference of the control was calculated through optimized equations of a wind turbine model for maximum power and torque. The overall system was simulated on Matlab/Simulink using a wind speed profile scenario. An experimental test bench controlled by a TMS320F28379D card was set up in the laboratory to confirm the effectiveness of the obtained simulation results.

Keywords:

wind power conversion system, Wind Turbine Emulator (WTE), induction motor, DC generator, Variable Frequency Drive (VFD)

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References

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How to Cite

[1]
Aljarhizi, Y., Nouaiti, A., Al Ibrahmi, E., Boutahiri, C., Hassoune, A. and Mesbahi, A. 2023. Optimized Wind Turbine Emulator based on an AC to DC Motor Generator Set. Engineering, Technology & Applied Science Research. 13, 2 (Apr. 2023), 10559–10564. DOI:https://doi.org/10.48084/etasr.5775.

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