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العنوان
Application of AI techniques in power system modeling and control /
المؤلف
Hellal, Mahmoud Soliman Ahmed.
هيئة الاعداد
باحث / محمود سليمان احمد هلال
مشرف / عاطف عازر اسحق
مناقش / محمد شبل محمد الباجس
مناقش / عاطف كامل فاضل الروبى
الموضوع
Electric power system. Fuzzy logic.
تاريخ النشر
2004 .
عدد الصفحات
138 p.:
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الكهربائية والالكترونية
تاريخ الإجازة
1/1/2004
مكان الإجازة
جامعة بنها - كلية الهندسة بشبرا - department of electric
الفهرس
Only 14 pages are availabe for public view

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Abstract

This work involves the study of two modification to improve the dynamic performance of the well-established fuzzy logic based power system stabilizer FLPSS. A novel fuzzy logic based power system stabilizer with supplementary signal controlled from the generator terminal voltage is presented, for the purpose of enhancing the stability margin of power systems. The suggested stabilizer is termed voltage-controlled fuzzy logic power system stabilizer VCFLPSS. Also this work involves another modification over the fixed parameter FLPSS through tuning its parameters based on the deviation in the machine terminal voltage to be adaptive in damping enhancement as well as in improving the stability limits of multimachine power system. The proposed controller is termed self-tuned fuzzy logic stabilizer STFLPSS. The performance of the suggested controller is studied through computer simulation for a multimachine power system model when undergoing both minor disturbance and large scale disturbance . A comparative study between FLPSS, VCFLPSS and STFLPSS is presented to establish the effectiveness of the suggested controllers in damping out power system oscillations as well as in enhancing the power system stability limit.