Intelligence Indirect Vector Control of a DFIG based Wind Turbines

  • Habib BENBOUHENNI ENPO-MA, Oran, Algeria
Keywords: Indirect vector control, DFIG, ANN, 5L-SVM, SVM-ANN.

Abstract

Abstract: An intelligence indirect vector control (IVC) of a doubly fed induction generator (DFIG) using a five-level inverter with space vector modulation (5L-SVM) strategy is proposed in this article. The novelty of the proposed intelligence strategy is an artificial neural network (ANN), which is utilised for the IVC command of the DFIG. Here, ANN has been replaced with the hysteresis comparators of the 5L-SVM technique. The backpropagation process is used for the training process of the ANN. By using the ANN outputs, the SVM-ANN strategy develops the command pulses for the five-level inverter. Then the proposed intelligence strategy is implemented in the MATLAB/Simulink platform and the effectiveness is analysed by comparing with the different tests. The comparison results demonstrate the superiority of the proposed approach and confirm its potential to solve the problem.

References

Reference
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Published
2019-03-01
How to Cite
BENBOUHENNI, H. (2019). Intelligence Indirect Vector Control of a DFIG based Wind Turbines. Majlesi Journal of Electrical Engineering, 13(3). Retrieved from http://mjee.iaumajlesi.ac.ir/index/index.php/ee/article/view/2972
Section
Articles