College of Engineering

A master thesis was discussed in Department of Electrical Engineering / College of Engineering / University of Mosul entitled “Dynamic Security Assessment for the Power System” submitted by postgraduate student (Qutaeba Saeed Younis Al-Hamdany) on Thursday, 02/09/2021.This thesis sought to achieve the objectives of studying the dynamic behavior of the test electric power system model (IEEE – 14 BUS) when emergency situations occur and their impact on the values ​​of (voltage, frequency and rotor angle) and building a database for those cases at base load and the loads (75%, 125%, 150%) of the base load.As well as employing artificial intelligence techniques (decision tree algorithms and artificial neural network) to build a classifier to assess the dynamic security of emergency situations based on these techniques so that the operators of electrical power systems can predict their behavior when emergency situations occur, The study also made a comparison of the results of the dynamic security evaluation classifiers based on the (J48) and (LMT) decision tree algorithms and the artificial neural network.The study showed that the artificial neural network showed superiority in terms of classifier accuracy compared to the (J48) algorithm and the (LMT) algorithm and the possibility of using it in practical applications.