Power System Fault Detection, Classification And Clearance By Artificial Neural Network Controller

It is obvious that fault is critical phenomenon to power transportation in distribution systems due to the dangerous impacts which ultimately cause economic crises. In this paper, a three-phase power system is analysed by Matlab and Simulink in order to examine their sustainability during fault experience. Short circuit faults such as single line to ground, multi-line to ground, line to line and three phase fault are discussed in this article. The same may take place due to physical contact between phases their selves or between single or multiple phase and ground. Artificial neural network (ANN) is used to classify fault and to generate an indication to change the protection relay status. This paper involves efficient designing of fault detection, classification and isolation paradigm underlied by artificial intelligence and advance signal processing.