Abstract
This paper presents a new optimization direct power control strategy based on the space vector modulation (DPC-SVM) applied to a PMSG-wind power system. The main purpose of this study is to overcome certain drawbacks of conventional direct power control on the wind power systems, such as variable switching frequency and high currents and power ripples. Hence, the system performance will be improved. In addition, to increase the control performance, a speed observer based on a Model Reference Adaptive System (MRAS) was used to overcome the problems caused by the use of the rotor sensor. To verify the effectiveness and the robustness of the proposed DPC-SVM with MRAS, the whole system was tested under a variable wind speed in the MATLAB/Simulink environment. Furthermore, a comparative analysis was performed between the proposed control DPC-SVM and conventional DPC to highlight the performance of the proposed approach.
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Majout, B. et al. (2022). Model Reference Adaptive System Based DPC-SVM Control for Permanent Magnet Synchronous Generator. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2022. Lecture Notes in Networks and Systems, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-031-01942-5_53
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DOI: https://doi.org/10.1007/978-3-031-01942-5_53
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