Journal
COMPUTERS & ELECTRICAL ENGINEERING
Volume 80, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compeleceng.2019.106492
Keywords
Wind energy conversion system (WECS); Maximum power point tracking (MPPT); Pitch angle control; Artificial neural network (ANN); Supervisory control and data acquisition (SCADA)
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This paper studies the real wind turbine installed in Kaberten (Adrar), in south western Algeria. It is based on Doubly Fed Induction Generator (DFIG) connected to the grid. The main objectives of this research is to create a good model which reflects the real behavior of the studied Wind Energy conversion System (WECS), the optimization of the captured wind power, and the improvement of its performance. In this context, various control strategies were applied. When the power is lower than its nominal value, two Maximum Power Point Tracking (MPPT) strategies were applied and compared. When the power is over or closer to the nominal value, the speed limit and pitch angle controls based on Artificial Neural Network (ANN) approach are applied. The simulation results were compared to the real data of the Supervisory Control and Data Acquisition (SCADA). They proved the validity of the model and the performance improvement. (C) 2019 Published by Elsevier Ltd.
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