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العنوان
Control of wecs using a.i. technique for max wind power tracking /
المؤلف
Lasheen, Mohamed Ali Abo El-Maaty.
هيئة الاعداد
باحث / محمد أبو المعاطى لاشين
مشرف / فهمى متولى أحمد بندارى
مناقش / فهمى متولى أحمد بندارى
مناقش / سليمان مبروك شرف
الموضوع
Wind Power. Wind power.
تاريخ النشر
2014.
عدد الصفحات
133 P. ;
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الكهربائية والالكترونية
تاريخ الإجازة
1/1/2014
مكان الإجازة
جامعة بنها - كلية الهندسة بشبرا - الهندسة الالكترونية
الفهرس
Only 14 pages are availabe for public view

from 133

from 133

Abstract

Relative to constant speed wind turbine systems, variable speed wind turbine systems offer increased energy capture. The maximum power capture is accomplished by controlling the power drawn so that the rotor operates at peak aerodynamic efficiency. These systems also improve the dynamic behavior of the wind turbine, reduce stresses and increase the lifetime of the system. Advances in power electronics have made variable speed control feasible.
The maximum power tracking control objective is to ensure complete utilization of the available wind energy and maintain the maximum aerodynamic efficiency. The proposed controllers employ wind speed, voltage and current measurements.
The objectives of this research are to model using Matlab/Simulink the wound rotor synchronous generator driven by wind turbine, and to develop a proper control strategy to extract approximately the maximum available power from synchronous generator driven by wind turbine. To achieve this objective, a power signal feedback strategy is proposed, where the system is controlled to operate at maximum available efficiency of the system. The reference power is calculated from the mechanical equation using the wind speed as input.
The controller is so simple that it needs only online values of DC link voltage and current. The used controllers are PI controller based GA and fuzzy controller based ANFIS.
In order to study the system completely, the open loop system response is studied according to various disturbances, and the system performance with the proposed control strategy is simulated and compared with that of the open loop system.
The simulation results have demonstrated that the presented algorithm is feasible. Furthermore, the simulation study shows that the algorithm can extract the maximum power under load perturbation and wind speed variation.