Omar Hamdi Hussein Mohamed <br/><br/>
Maximization of wind energy conversion system using artificial intelligent techniques /  
 تعظيم نظام تحويل طاقة الرياح باستخدام أساليب ذكاء اصطناعية 
Omar Hamdi Hussein Mohamed ; Supervised Ahmed Mohamed Ahmed Ibrahim , Mahmoud Mohamed Sayed , Tarek Abdelbadea Boghdady 
 - Cairo :   Omar Hamdi Hussein Mohamed ,   2018 
 - 106 P. ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines 
<br/><br/> Wind has been utilized as a source of power in different applications throughout the years. Recently, due to the depletion of fossil fuel, environmental impact, and the gross in energy demand all over the world, as a result, the desire to find an alternative renewable energy sources is increased. A literature review is introduced about wind energy production and new installed  capacity in Egypt and worldwide. Many optimization methods like GA, BBO, LBBO, and  CSA have been applied to tune the PI parameters to obtain the optimum performance for the wind farm. In addition, an adaptive PI Neural Network (PINN) controller is introduced to tune PI parameters online and comparing its performance with the conventional PI controller with different operating conditions. The system is tested under different operating condition such as wind speed variation and faults 
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<br/><br/><label>Subjects--Index Terms: </label>Adaptive controller Fuzzy controller Neural network