Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines

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

Issued also as CD