الفهرس 
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Abstract
The purpose of this thesis is to develop power system stabilizer (PSS) for enhancing power system synchronous stability taking into account non-linear local load characteristics. The proposed PSS design is based on Polo placement approach and advanced control techniques namely, Rule-based Fuzzy Logic, Artificial Intelligent Neural Network and Hybrid Neuro-Fuzzy Techniques.
Power system modeling with local characteristics is developed. Then, power system synchronous stability for a variety of operating conditions and exciter parameter are studied. The power system consists of single synchronous machine connected to an infinite busbar through double circuit-transmission line taking into consideration the local load non-linear characteristics.
Polo plcement apoproach is used for designing a minimum sensitivity optimal controller to be supplemented to the power system with the local load non-linear characteristics. The purpose of such controller is to minimize the closed-loop poles sensitivity due to any variations caused by varying the operating condition. It has been found that such approach may be limited to a simple power system represented by a fourth order. For higher order systems, the advanced control approaches mentioned above are used.
A simple Artifical Intelligent Fuzzy Logic controller (FLC) combined with pole placement approach is developed. The purpose of such controller is to stabilize the power system over a wide range of operating conditions and different system disturbances. A comparison betwenn system dynamic responses using the proposed FLC and the minimum sensitivity controller is studied. The results oibtained from such comparison showed better dynamic performance of the power system with the FLC design.