الفهرس 
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Abstract
Inter area oscillations is one of the big issues that meets power system. This type of issues are normally caused due to the disturbances that meets the power system, cause of the many issues that meets power system either fault, loading, unloading and switching. Interarea oscillation has the capability to put the system into instable mode, and can cause blackout. Over the last few decades, many researches were introduced to eliminate that sort of problems, or decrease its impact upon the system through many ways. Damping interarea oscillation has been one of the major challenges that met the electric power society.
In this thesis inter area oscillations case will be under study, and the study will aim to damp inter area oscillation through different methods. The study will mention conventional ways of excitation and regulation, and it will introduce two different methods, first method is normal decentralized controller using PID-PSS, and the second method will be centralized controller using also PID-PSS controller, both methods will be used with two different forms of artificial intelligence (algorithms), Grey wolf optimization techniques (GWO) and Particle swarm optimization (PSO) adding to them to be in comparison conventional power system stabilizer. Objective function was formulated using integral time square error (ITSE), the formula was created on the main power transferred from area one to area two in the model, and the results was compared for each method based on power transferred point of view, voltage on each bus, frequency and power at each machine.
The aim is to find the best approach, and the best efficiency to damp inter area oscillations in the optimum timing. Each method is subjected to same fault, on same model, using the two mentioned algorithms, then the results are introduced and compared.
At the end of the thesis the comparison that will be introduced between methods will be discussed showing which algorithm and technique was more robust and showed better performance on each part of the study, and the disadvantages, the thesis also will discuss the future work that is recommended to be done.
Keywords:
Inter area oscillations, Kundur, Artificial intelligence, Optimization, Power system stability