Search In this Thesis
   Search In this Thesis  
العنوان
digital control in electric Power systems
الناشر
:Mohamed zaharia Abd El Nil
المؤلف
Abu El Nil,Mohamed Zakria
هيئة الاعداد
باحث / محمد زكريا ابو النيل
مشرف / احمد حسن على عامرا
مشرف / السيد عبد العليم محمد
مناقش / محمد عبد اللطيف بدر
مناقش / محمود محمد المتولى
الموضوع
Electric Power system
تاريخ النشر
, 1999
عدد الصفحات
xvii,157p
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الكهربائية والالكترونية
تاريخ الإجازة
1/1/1999
مكان الإجازة
جامعة عين شمس - كلية الهندسة - كهربة قوى
الفهرس
Only 14 pages are availabe for public view

from 257

from 257

Abstract


This research presents a study on the performance of a
synchronous generator connected to an infinite bus via short
transmission line due to a small disturbance. The generator is
equipped with an automatic voltage regulator (AVR) in addition
to a power system stabilizer (PSS). Different PSS types have been
previously investigated and applied in order to damp system small
oscillations. PSS has been proved to be an effective device
(controller) for damping system oscillations due to small as well
as large disturbances.
Recently, Artificial Neural Network (ANN) has been applied
in power engineering in different applications, such as: load
forecasting, fault diagnosis, speed control, generator
controllers ...etc. One of these applications, adaptive PSS design, is
examined in this study.
Based on the MATLAB (SIMULINK) , digital simulation
studies have been carried out for the studied system. The study
presents the effect of: -
(1) Lead-lag PSS;
(2) Pole placement PSS; (3) Linear optimal control (LOC) based PSS on the system
performance.
An adaptive PSS based on the ANN & LOC methodology is
designed and its effect on system performance is investigated. A
correlation based statistical algorithm is employed in the selection
of input variables required for feeding in the adaptive PSS. A
simplified structure based on the generator speed, for the adaptive
PSS proved its effectiveness and capabilities to damp out the
system small oscillations.