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العنوان
Generation Control Of Interconnected Power Systems Using Artificial Intelligence Techniques \
المؤلف
Nassar, Nashwa Saeed Mohamed.
هيئة الاعداد
باحث / نشوى سعيد محمد نصار
مشرف / جمال عبد الوهاب مرسى
مناقش / هبه عبد الحميد خطاب
مناقش / جمال عبد الوهاب مرسى
الموضوع
Electric Power Systems - Automatic Control. Intelligent Control Systems. Artificial Intelligence - Technological Innovations. Interconnected Power Utility Systems - Automation. Electric Power Systems - Control.
تاريخ النشر
2014.
عدد الصفحات
1 computer disc :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الكهربائية والالكترونية
تاريخ الإجازة
1/7/2014
مكان الإجازة
جامعة المنوفية - كلية الهندسة - الهندسة الكهربية.
الفهرس
Only 14 pages are availabe for public view

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Abstract

In an interconnected power system, as a load demand varies randomly, both areas frequency and tie-line power interchange also vary. Load frequency control (LFC) is considered as one of the main topics which need to be carefully studied for any power system to deal with the previous problem. The objectives of LFC are to minimize the transient deviations in these variables (area frequency and tie-line power interchange) and to ensure their steady state errors to be zero. In this thesis, various types of controllers have been applied to enhance the performance of the studied two area interconnected power system. Conventional controllers like proportional integral controller (PI) and the proportional integral derivative controller (PID) are used to improve the performance. However fixed gain controllers (PI and PID) designed at nominal operating conditions are simple for implementation, they failed to provide best results at different operating conditions. So, an artificial intelligence (AI) technique like fuzzy logic controller (FLC) is used as it obtains better results over wide range of operating conditions. Moreover, Optimization techniques such as particular swarm optimization (PSO) technique are used to obtain the optimized controllers gains and consequently assure good performance for different operating conditions. The conventional controllers and FLC have been tuned via particular swarm Optimization (PSO) techniques. Various step load disturbances have been applied to the studied power system to reveal the effectiveness and robustness of the proposed technique for both areas. The simulation results are obtained in comparative form, with PSO or without PSO, to validate the effectiveness of different controllers like PI, PID and fuzzy logic controllers to enhance the system performance. Finally, the concept of damping and synchronizing torques was applied to provide a quantitative assessment of the performance of the studied two area interconnected power system implementing different controllers.