In modern power systems, efficient ground fault line selection is crucial for maintaining
stability and reliability within distribution networks, especially given the increasing demand …

Electric power transmission line is an important medium to supply the electric power
continuously. However, the exposed environment of transmission line leads to the presence …

This study presents an artificial neural-network (ANN)-based digital fault classification and
location algorithm for medium voltage (MV) overhead power distribution lines with load taps …

Despite advancements in technology, power system faults leading to electric power
interruption remain a significant issue. Efficient restoration of the power system relies on the …

In this study, the effects of electric vehicles, whose usage rate is increasing day by day in the
world, on the existing electricity grid have been studied. EV charging stations and similar …

This article focuses on detecting, classifying and locating faults in power system using
Artificial Neural Networks (ANNs). Feed-forward neural networks have been employed and …

Because of the increase in load demand, the number of transmission lines are also
increasing gradually to match the increased load demand. As the number of transmission …

Electric power Transmission lines are characterized by very lengthy transmission lines and
thus are more exposed to the environment. Consequently, transmission lines are more …

Transmission lines are generally susceptible to faults, and it is highly desirable and
advantageous to locate and clear these faults at the fastest speed. Thus, the aim of this …

This paper utilises an artificial neural network (ANN) technique for fault detection on a 132kV
transmission line system. A Feed-forward network with back propagation algorithm was …