Classification of Faults in a Distributed Generator Connected Power System Using Artificial Neural Network

Abstract

Transmission lines are high voltage lines which carry electricity from the power plant to the substation and it is further transmitted to different areas. Distribution lines of low voltage lines for residential and commercial use that bring power from substations to end users. Various types of switching and protecting devices and instruments are used during the transmission and distribution of electrical power. Day by day the demand for electric power is increasing, hence different types of Distributed Generator (DG) such as wind, tidal, solar, diesel generator, etc. are used to increase electrical power generation. The diesel generator is linked to the grid through long transmission networks in this work. Faults must be resolved as soon as possible with respect to customer satisfaction & service quality. The detection method ought to be correct and sharp in order to clarify the fault very soon. The methodology of artificial neural network is a quick-witted method used for classification of fault that can classify the fault. MATLAB and SIMULINK are used for system modeling in this work. The extracted voltage signal fed to the ANN as input which is accurately trained and tested.