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العنوان
Power Quality Enhancement of Grid Connected Wind Energy System\
المؤلف
Ahmed,Hazem Fathy Mohamed
هيئة الاعداد
مشرف / حازم فتحى محمـد
مشرف / نجار حسن سعد
مشرف / خالد عبد العاطى محمـد صلاح الدين
مشرف / سعيد عبد المنعم وحش
تاريخ النشر
2019.
عدد الصفحات
75p.:
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الكهربائية والالكترونية
تاريخ الإجازة
1/1/2019
مكان الإجازة
جامعة عين شمس - كلية الهندسة - كهربة قوى
الفهرس
Only 14 pages are availabe for public view

from 94

from 94

Abstract

Expanding wind energy utilization for producing electrical power has a big prominence in most countries due to its benefits and availability worldwide. In the former decades, the wind energy insertion to the network was small. Consequently, wind turbine disconnection from the network was not in consideration. Wind turbines could be disconnected from the grid in disturbances cases without consideration of impacts on the power system. Nowadays, enormous wind energy has been inserted to the network and this integration introduced technical issues which should be addressed. Wind power interconnection in the system network influences the power quality specifically in unstable operation. Immediately disconnection of the wind turbine from the grid is prohibited by operators according to grid codes in voltage sag or fault cases. Nevertheless, limitation of reactive power provided attends for additional reactive power compensator. This thesis focuses on modeling and controlling of variable speed grid-connected wind turbine based permanent magnet synchronous generator wind turbine combined maximum wind power capture technique. The second contribution of this research is developing control and power management strategy for static synchronous compensator STATCOM to ensure stability and reliable operation of grid-connected wind turbine under disturbances cases. STATCOM is utilized for mitigation voltage fluctuation and strengthens power quality. In this dissertation, Ant Colony Optimization method ACO is adopted for tuning STATCOM controller to reinforce dynamic performance during fluctuations in grid-connected wind energy system. The proposed method is compared with genetic algorithm optimization and the classic approach methods to show accurately the system dynamic enhancement. The system is performed by Matlab/Simulink and the consequences confirm the excellent response of the different dynamic changes of the system and improve their dynamic response.