Abstract
This paper presents the application of a simulation with a proposed model and control of a (DFIG) associated into a wind energy conversion system with a variable speed wind turbine using Artificial Fuzzy Logic techniques, and we are particularly interested in the application of indirect vector control by stator field orientation of DFIG. Firstly, a mathematical model of the machine written in an appropriate d–q reference frame is proposed to investigate simulations. secondly, and in order to control the power flowing between the stator of the DFIG and the power network, a control law is synthesized using two types of controllers: Proportional-Integral (PI) controller and fuzzy logic based controller. The proposed controller was tested and compared with one other technique, the PI controller. Finally, the obtained results show that the proposed controller exhibits better behaviour in terms of settling time, overshoot, robustness with respect to machine parameters variation, and good tracking references. The simulation was carried out by means of computational simulations in Matlab/Simulink Software.
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Zeghdi, Z., Barazane, L., Larabi, A., Benchama, B., Khechiba, K. (2019). Wind Energy Conversion Systems Based on a Doubly Fed Induction Generator Using Artificial Fuzzy Logic Control. In: Hatti, M. (eds) Renewable Energy for Smart and Sustainable Cities. ICAIRES 2018. Lecture Notes in Networks and Systems, vol 62. Springer, Cham. https://doi.org/10.1007/978-3-030-04789-4_28
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DOI: https://doi.org/10.1007/978-3-030-04789-4_28
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