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1711776 Vol 9 · Issue 5 Download Paper

Optimal Modelling of A 720kw Wind Turbine Using MATLAB/Simulink

Ozah Osemudiamen Ehimen Ibhadode

Subject area: Science,Engineering and Technology  ·  Area of research: Wind Turbine Optimization

DOI: https://doi.org/10.64388/IREV9I5-1711776

Abstract

Wind energy is a vital component of sustainable power generation, and modeling wind turbine generators accurately is crucial for optimizing their performance. This project focuses on the optimal modeling of a wind turbine generator using MATLAB SIMULINK, emphasizing key aspects such as MATLAB as a versatile modeling platform, the critical parameter of Tip Speed Ratio (TSR) for determining optimal rotational speed, the significance of modeling Pitch Controller algorithms to regulate blade angles and ensure safe operation, and the consideration of environmental effects, including wind speed, turbulence, and wind direction, to assess their impact on energy production and turbine loads. These elements collectively contribute to the comprehensive understanding and optimal modelling of the 720KW wind turbine systems with pitch controller for enhanced energy efficiency, reliability, and longevity, making this research vital for sustainable wind energy generation.

Keywords

Optimal, Wind Energy, Wind Turbine, MATLAB, Simulink.

References

[1] Babu, C., V. & S., 2014. Modelling and simulation of wind turbine generator using MATLAB/SIMULINK. International Journal of Engineering Research & Technology, Volume 3(1), pp. 156-162.

[2] Bharanikumar, R., Yazhini, A. & Kumar, N. A., 2010. Modelling and Simulation of wind driven permanent magnet generator with new MPPT algorithm. Asian Power Electronics , 4(2), pp. 52-58.

[3] Bossanyi, E., 2003. Wind Turbine control for load reduction. Wind energy: An international journal for progress and application in wind power conversion technology, III(6), pp. 229-244.

[4] Chong, C., Rigit, A. & Ali, I., 2020. The 13th International UNIMAS Engineering Conference 2020 (ENCON 2020). Samaridan, IOP Publishing Ltd.

[5] Chong, C., Rigit, A. & Ali, I., 2020. The 13th International UNIMAS Engineering Conference 2020 (ENCON 2020). Samarinda, IOP Publishing Ltd.

[6] Civelek, Z., Luy, M., Cam, E. & Barisci, N., 2016. Control of pitch angle of wind turbine by fuzzy PID controller. Intellinent Automation and Soft Computing, III(22), pp. 463-471.

[7] Hwas, A. & Katebi, R., 2012. Wind Turbine Control using PI pitch Angle Controller. Glasgow, University of Strathclyde.

[8] Junyent-Ferre, A., 2011. Control of power electronic converters for the operation of wind generation system under grid disturbances, Barcelona: Universitat Politecnica de Catalunya.

[9] Muljadi, E. & Butterfield, C., 1999. Pitch controlled vaiable speed wind turbine. Phoenix, U.S. Department of Energy Laboratory.

[10] Pandey, M. C., Sunil, Mugundhan, N. & Velamati, R. K., 2016. Numerical stuud of the effect of pitch angle on the performamce characteristics of a HAWT. Engineering Science and Technology, I(19), pp. 632-641.

[11] Qi, Y. & Meng, Q., 2012. The application of fuzzy PID control in pitch wind turbine. Energy Procedia, I(16), pp. 1635-1641.

[12] Rassul Abbas , F. A. & Abdulsa, M. A., 2010. Simulation of wind turbine speed control by MATLAB. International Journal of computer and electrical engineering, ii(5), pp. 1793-8163.

[13] Rolan, A., Delgado, J. R., Luna, A. & Aguilar, D. A., 2010. An approach to the performance-Oriented model of variable speed wind turbines. Spain, Research Gate.

[14] Roshen, A. & Abdul-Hassain, M., 2017. Modelling and simulation of wind turbine generator using MATLAB-SIMULINK. Journal of Al-Rafidain University college for Sciences, Volume I, pp. 282-298.

[15] Singh, A. K., Krisham, R. & Sood, Y., 2013. Modelling and control of Grid conncetd variable speed PMSG based wind energy system. Hamirpur, Atlantis Press.

How to cite this paper

Ozah Osemudiamen, Ehimen Ibhadode "Optimal Modelling of A 720kw Wind Turbine Using MATLAB/Simulink" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 178-188 https://doi.org/10.64388/IREV9I5-1711776
Ozah Osemudiamen, Ehimen Ibhadode "Optimal Modelling of A 720kw Wind Turbine Using MATLAB/Simulink" Iconic Research And Engineering Journals, vol. 9, no. 5, Nov. 2025, doi: https://doi.org/10.64388/IREV9I5-1711776
Ozah Osemudiamen, Ehimen Ibhadode (2025). Optimal Modelling of A 720kw Wind Turbine Using MATLAB/Simulink. Iconic Research And Engineering Journals, 9(5). doi: https://doi.org/10.64388/IREV9I5-1711776
Ozah Osemudiamen, Ehimen Ibhadode "Optimal Modelling of A 720kw Wind Turbine Using MATLAB/Simulink" Iconic Research And Engineering Journals, vol. 9, no. 5, Nov. 2025. Crossref, https://doi.org/10.64388/IREV9I5-1711776
@article{1711776,
      author = {Ozah Osemudiamen, Ehimen Ibhadode},
      title = {Optimal Modelling of A 720kw Wind Turbine Using MATLAB/Simulink},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {5},
      pages = {178-188},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1711776.pdf},
      abstract = {Wind energy is a vital component of sustainable power generation, and modeling wind turbine generators accurately is crucial for optimizing their performance. 
This project focuses on the optimal modeling of a wind turbine generator using MATLAB SIMULINK, emphasizing key aspects such as MATLAB as a versatile modeling platform, the critical parameter of Tip Speed Ratio (TSR) for determining optimal rotational speed, the significance of modeling Pitch Controller algorithms to regulate blade angles and ensure safe operation, and the consideration of environmental effects, including wind speed, turbulence, and wind direction, to assess their impact on energy production and turbine loads. These elements collectively contribute to the comprehensive understanding and optimal modelling of the 720KW wind turbine systems with pitch controller for enhanced energy efficiency, reliability, and longevity, making this research vital for sustainable wind energy generation.},
      keywords = {Optimal, Wind Energy, Wind Turbine, MATLAB, Simulink.},
      month = {November},
      doi = {https://doi.org/10.64388/IREV9I5-1711776}
  }