717decb6-af50-4022-b5e5-d96c02c1f70f20210714074759152naun:naunmdt@crossref.orgMDT DepositInternational Journal of Mechanics1998-444810.46300/9104http://www.naun.org/cms.action?id=2828128202112820211510.46300/9104.2021.15https://www.naun.org/cms.action?id=23280SamirBellarbiCenter for Renewable Energy Development CDER, BP. 62 Route de l’Observatoire Bouzareah, 16340, Alger, AlgeriaGenerally speaking, asynchronous generators are used more frequently in medium power in wind energy conversion systems WECS applications. Depending on the power electronics converter used in the specific application, the operation of the asynchronous machine can be controlled in nested speed torque loops, using different torque control algorithms. Because WECS are highly nonlinear systems, but with smooth nonlinearities, a possible optimal control design solution can be the maximum power point tracking MPPT in this paper. This research describes a comparison of the power quality for wind power systems based on two generators: the squirrel-cage induction generator (SCIG), the doubly fed induction generator (DFIG). At first, we simulated SCIG and DFIG in MATLAB/Simulink and investigates the impact of this generators on the power system stability for compare the results and to comment on the best option based on the output characteristics of the generator and wind turbine. The technical objective of this research is to choose the most suitable generator adaptive with changing wind speeds and the most energy production7142021714202110210611https://www.naun.org/main/NAUN/mechanics/2021/a222003-011(2021).pdf10.46300/9104.2021.15.11https://www.naun.org/main/NAUN/mechanics/2021/a222003-011(2021).pdfW. Yu, S. Huang, D. Jiang, "A fault monitoring method for wind power generationsystem based on sliding mode observer", Bulletin of the Polish Academy of Sciences Technical Sciences Vol. 69, No. 3, 2020. 10.37394/232018.2020.8.1M. Davoudi, A. Kasiri Far, “Recurrent Neural Network based MPPT Control of Grid Connected DFIG for Wind Turbine”, WSEAS Transactions on Computer Research, Vol. 8, Issue 1, pp. 1-10, 2020. 10.1109/tia.2013.2253531Y. Zou, E. Elbuluk, Y. Sozer, "Simulation Comparisons and Implementation of Induction Generator Wind Power Systems", IEEE Transactions on Industry Applications, Volume: 49, Issue 3, 2013. S. Darvishi-Niafenderi, "Differences between SCIG and DFIG Inertia Response", Tech J Engin & App Sci., 3 (9): 812-818, 2013. 10.1109/iicpe.2016.8079427H. Ahuja, R. Virmani, A. Ahuja, "Performance comparison of most prevalent wind energy conversion systems", IEEE Xplore journal DOI: 10.1109/IICPE.2016.8079427. 10.1109/tpel.2015.2480407K. Hsiung Tan, "Squirrel Cage Induction Generator System Using Wavelet Petri Fuzzy Neural Network Control for Wind Power Applications", IEEE Transactions on Power Electronics, Vol. 31, Issue 7, 2016. 10.37394/232018.2020.8.5B. Majout, D. Abrahmi, Y. Ihedrane, C. El Bakkali, K. Mohammed, B. Bossoufi, “Improvement of Sliding Mode Power Control for WECS based on DFIG-Generator”, WSEAS Transactions on Computer Research, Vol. 8, Issue 5, pp. 26-33, 2020. H. Lallouani, B. Saad, "Performancesof type 2 fuzzy logic control based on direct torque control for double star induction machine", Rev. Roum. Sci. Techn.– Électrotechn. et Énerg. Vol. 65, 1-2, pp. 103–108, Bucarest, 2020. 10.1007/s11664-018-6312-8N. Altin, "The Type-2 Fuzzy Logic ControllerBased Maximum Power Point Tracking Algorithm and the Quadratic Boost Converter for Pv System", Journal of Electronic Materials, vol. 47, p. 4475–4485, 2018. 10.37394/23201.2021.20.4S. Hassan, B. Abdelmajid, Z. Mourad, S. Aicha, B. Abdenaceur, “PSO-Backstepping Design for Sharing Active and Reactive Power in Grid Connected DFIG based Wind Turbine”, WSEAS Transactions on Circuits and Systems, Vol. 20, Issue 4, pp. 33-42, 2021. S. Bellarbi, D. Saheb Koussa, "Fuzzy Robust Control of double-fed asynchronous generator with parameter uncertainties", Rev. Roum. Sci. Techn. –Électrotechn. et Énerg., 61, 4, p. 367 – 371, Bucarest, 2016. E. Touti, H. Kraim, R. Pusca, " Modeling of an isolated induction generatorconsidering saturation effect ", Bulletin of the Polish Academy of Sciences Technical Sciences Vol. 67, No. 4, 2018. 10.37394/232018.2020.8.5Y. Ihedrane, C. El Bekkali, B. Bossoufi, M. El Ghamrasni, H. Mahmoudi, “Improved Power Control for an Isolated DFIG based WECS, WSEAS Transactions on Systems”, Vol. 18, Issue 32, pp. 253-261, 2019. 10.1088/1742-6596/1081/1/012012S. BELLARBI, D. SAHEB KOUSSA, A. DJOUDI, “Sliding Mode Control for PMSGbased Wind Power System”, Journal of Physics: Conf. Series 1081 (2018) 012012, doi:10.1088/1742-6596/1081/1/012012. S. Bellarbi, "Analysis and design of wind energy system based on nonlinear speed controller", Journal of Renewable Energies Vol. 22 Issue 2,p. 295 – 302, 2019. 10.1109/irec.2016.7478948D. Saheb Koussa, Y. Bouchahma, M. Koussa, S. Bellarbi, A. Boufertella, "Simulation of a wind generator coupled to adiesel generator", International Renewable Energy Congress (IREC), 1-6, 2016. P. Kumar, M. Kumar, N. Pal, "An efficient control approach of voltage and frequency regulation in an autonomous microgrid", Rev. Roum. Sci. Techn. –Électrotechn. et Énerg., 66, 1, p. 33 –39, Bucarest, 2021. G. Salloum, "Analytical design of fractional order proportional integral controller for enhanced power control of doubly-fed induction generateur", Rev. Roum. Sci. Techn. – Électrotechn. et Énerg., 65, 1-2, p. 109 –115, Bucarest, 2020. 10.1109/cispsse49931.2020.9212297K. Vishnu, R. Nema, A. Ojha, "Boost Converter with Fuzzy Logic, PI Controller and Sliding Mode Control for a Variable Source Input", IEEE Xplore journal 2020 DOI:10.1109/CISPSSE49931.2020.9212297. 10.1109/cjece.2019.2923050O. Turksoy, S. Ayasun, Y. Hames, "Computation of Robust PI-Based Pitch Controller Parameters for Large Wind Turbines", Canadian Journal of Electrical and Computer Engineering, Vol. 43, Issue 1, 2020.