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Improved Hybrid Control Strategy of the Doubly-Fed Induction Generator Under a Real Wind Profile

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Digital Technologies and Applications (ICDTA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 211))

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Abstract

The design of a control technique of doubly-fed induction generator (DFIG) for providing a high quality of energy, without harmonics accumulation, to the electrical grid is a real challenge because of the nonlinearity of the wind energy conversion system (WECS). In this paper, an improved robust command has been developed and then tested in order to control the rotor side converter (RSC) of the WECS. The main contribution of this research work is to optimize the extraction of the wind energy in the real circumstances and to push the DFIG working properly, with the highest performance and robustness, in the different operation modes. Therefore, the dynamic model of the turbine has been presented in this research paper, also the hybrid Direct Power Control-Backstepping (DPC-BS) command is highlighted. Matlab/Simulink simulations analysis, with the real parameters of the turbine and the real wind profile of Dakhla-Morocco city, confirm the high accuracy, the high performance and the robustness of the proposed method, which based on the the combination between the Direct Power Control (DPC) and the Backstepping controller. Moreover, the obtained results prove, despite the variable wind speed, the validation of the developed command with a total harmonic distortion THD ~0.33% and a null overshoot for the grid currents with a frequency of 50 Hz, which gives the possibility of injection into the electrical grid.

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Correspondence to Mourad Yessef .

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Appendix

Appendix

Table 1 The DFIG parameters
Table 2 The wind turbine parameters

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Yessef, M., Bossoufi, B., Taoussi, M., Lagrioui, A., Chojaa, H. (2021). Improved Hybrid Control Strategy of the Doubly-Fed Induction Generator Under a Real Wind Profile. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2021. Lecture Notes in Networks and Systems, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-030-73882-2_117

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