ANALYSIS OF WIND TURBINE POWER OUTPUT VIA MODELING, SIMULATION, AND VALIDATION

Authors

  • CIPRIAN POPA Faculty of Electrical Engineering, National University of Science and Technology Politehnica Bucharest, Romania. Author
  • NICOLAE-SILVIU POPA Faculty of Electrical Engineering, National University of Science and Technology Politehnica Bucharest, Romania. Author https://orcid.org/0000-0002-3377-5799
  • FLORENȚIU DELIU Marine Engineering Faculty, "Mircea cel Bătrân" Naval Academy, Romania. Author https://orcid.org/0009-0004-2661-0795
  • OVIDIU CRISTEA Marine Engineering Faculty, "Mircea cel Bătrân" Naval Academy, Romania. Author https://orcid.org/0000-0002-4215-6578
  • INACU CIOCIOI Marine Engineering Faculty, "Mircea cel Bătrân" Naval Academy, Romania. Author https://orcid.org/0009-0000-1799-5436
  • MIHAI-OCTAVIAN POPESCU Faculty of Electrical Engineering, National University of Science and Technology Politehnica Bucharest, Romania. Author

DOI:

https://doi.org/10.59277/RRST-EE.2025.2.4

Keywords:

Electrical power generation, Experimental validation, Mathematical modeling, Renewable energy, Wind turbine

Abstract

This paper presents a comprehensive study on the mathematical modeling, simulation, and experimental validation of the electrical power output of a wind turbine system. The research begins with developing mathematical models to determine the useful electrical power generated by the wind turbine under varying operational conditions. These models are then simulated using MATLAB/Simulink to predict the system's performance. A physical prototype of the wind turbine system is constructed to collect experimental data under real-world conditions. Finally, the experimental results are compared with the simulated data to validate the accuracy of the mathematical models. The maximum relative error observed between the simulated and experimental data is 1.71 %, highlighting the reliability of the proposed models. The research demonstrates the effectiveness of the mathematical approach for predicting wind turbine performance and offers valuable insights into the design and optimization of small-scale wind energy systems.

References

(1) Y. Dris, M.C. Benhabib, S.M. Meliani, V. Dumbrava, Performance analysis of a hybrid farm (Photovoltaic system wind turbine) connected to the grid using nine–switches converter, UPB Sci. Bull. Ser. C Electr. Eng. Comput. Sci., 83, 3, pp. 207–224 (2021).

(2) A. Boulayoune, A. Oubelaid, A. Chibah, Comparative study of inner and outer rotor flux reversal permanent magnet machine for direct drive wind turbine, Rev. Roum. des Sci. Tech. Ser. Electrotech. Energ., 69, 2, pp. 123–128 (2024).

(3) Y. El–Okda, M.S. Emeara, N. Abdelkarim, K. Adref, H. Al Hajjar, Performance of a small horizontal axis wind turbine with blade pitching, 2020 Adv. Sci. Eng. Technol. Int. Conf. ASET 2020 (2020).

(4) M. Sivaramakrishnaiah et al., Numerical and experimental investigations on a bladeless turbine: Tesla’s cohesion–type innovation, Int. J. Renew. Energy Dev., 13, 1, pp. 110–121 (2024).

(5) M.S. Davis, A. Jafarian, F. Ferdowsi, M.R. Madani, Wind energy harvesting capability of a novel cascaded dual–rotor horizontal–axis wind turbine, Int. Conf. Electr. Comput. Commun. Mechatronics Eng. ICECCME 2021 (2021).

(6) M. Debbache, F. Meziane, A. Bekhti, M. Tata, Design and sizing of wind blades based on generator parameters for small wind turbines for low wind regions, Proc. – 2023 2nd Int. Conf. Electron. Energy Meas. IC2EM 2023 (2023).

(7) R. Elumalai, Maximum power quality tracking of artificial neural network controller–based double fed induction generator for wind energy conversion system, Rev. Roum. des Sci. Tech. Ser. Electrotech. Energ., 69, 2, pp. 189–194 (2024).

(8) W.M. Amirul Bin Mohd Adnan, A. Bt Abdul Aziz, L.B. Raya, Feasibility study of wind power generation system using small scale wind turbines, 2022 IEEE 10th Conf. Syst. Process Control. ICSPC 2022 – Proc., pp. 166–169 (2022).

(9) G. Shahgholian, S.M.A. Zanjani, A study of voltage sag in distribution system and evaluation of the effect of wind farm equipped with doubly–fed induction generator, Rev. Roum. des Sci. Tech. Ser. Electrotech. Energ., 68, 3, pp. 271–276 (2023).

(10) M. Sateesh Kumar, Y.V. Pavan Kumar, D. John Pradeep, C.P. Reddy, Analysis on the effectiveness of vertical axis wind turbine for domestic consumers, 2020 Int. Symp. Adv. Electr. Commun. Technol. ISAECT 2020 (2020).

(11) M.S. Genc, K. Sekhoune Ozden, Flow physics analysis of a vertical axis wind turbine using FloEFD, 7th Iran Wind Energy Conf. IWEC 2021 (2021).

(12) O. Beik, A. Al–Adsani, Proposed wind turbine limited– and high–speed operation, 2020 IEEE Electr. Power Energy Conf. EPEC 2020 (2020).

(13) H. Tao, Research on optimization control strategy using model predictive control of wind turbine generators, 2023 IEEE Sustain. Power Energy Conf. iSPEC 2023 (2023).

(14) K. Naoi, M. Shiono, Relationship between incident angle of wind on rotor blade and output of a drag–type multi-blade vertical–axis wind turbine with stationary multi–vanes, 2021 11th Int. Conf. Power, Energy Electr. Eng. CPEEE 2021, pp. 147–152 (2021).

(15) J. Baruah, P. Venkaiah, N. Kumar, B.K. Sarkar, N. Alom, Offshore wind turbine pitch control with aeroelastic effect, 2022 IEEE IAS Glob. Conf. Emerg. Technol. GlobConET 2022, pp. 875–880 (2022).

(16) J. Liu, Q. Zhang, R. Zhang, J. Hu, L. Zhang, B. Cai, An asymmetric–primary axis–flux hybrid–excitation generator for the vertical axis wind turbine, IEEE Access (2021).

(17) M.F. Akorede, Design and performance analysis of off–grid hybrid renewable energy systems, Hybrid Technol. Power Gener., pp. 35–68 (2021).

(18) ***ABB, Technical application papers No.13 Wind power plants, no. 13, p. 136 (2011).

(19) A. Biswas, A. Nath, A. Kundu, S. Sarkar, S. Bhowmick, R.S. Pal, Modelling of wind turbine and study its operation at various input parameters, 2023 7th Int. Conf. Electron. Mater. Eng. Nano–Technology, IEMENTech 2023 (2023).

(20) C.P. Chioncel, O.G. Tirian, M. Dordescu, E. Spunei, Optimization of wind turbine operation in variable wind speed conditions, 2020 7th Int. Conf. Energy Effic. Agric. Eng. EE AE 2020 – Proc. (2020).

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Published

14.06.2025

Issue

Section

Électrotechnique et électroénergétique | Electrical and Power Engineering

How to Cite

ANALYSIS OF WIND TURBINE POWER OUTPUT VIA MODELING, SIMULATION, AND VALIDATION. (2025). REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE, 70(2), 175-180. https://doi.org/10.59277/RRST-EE.2025.2.4