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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. |