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العنوان
Maximization of wind energy conversion system using artificial intelligent techniques /
الناشر
Omar Hamdi Hussein Mohamed ,
المؤلف
Omar Hamdi Hussein Mohamed
هيئة الاعداد
باحث / Omar Hamdi Hussein Mohamed
مشرف / Ahmed Mohamed Ahmed Ibrahim
مشرف / Mahmoud Mohamed Sayed
مشرف / Tarek Abdelbadea Boghdady
تاريخ النشر
2018
عدد الصفحات
106 P. ;
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الكهربائية والالكترونية
الناشر
Omar Hamdi Hussein Mohamed ,
تاريخ الإجازة
25/2/2018
مكان الإجازة
جامعة القاهرة - كلية الهندسة - Electrical Power and Machines
الفهرس
Only 14 pages are availabe for public view

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Abstract

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