This paper presents a method for classification of transmission line faults based on Artificial Neural Network (ANN).Samples of prefault and postfault three phase currents taken at one end of transmission line are used as ANN inputs. Simulation studies have been carried out extensively on two power system models: one in which the transmission line is fed from one end and another, in which the t...

The technical infrastructure is of crucial importance for modern society and electric power supplies are of particular importance. Society's dependence on electrical energy, communications and information technology is increasing. At the same time users, both industry and households, have overconfidence in technical infrastructure functionality and little preparedness for outages in the power n...

With global warming, the increasing forest fires have caused trips and outages frequently along transmission lines, which is a serious threat to the operation stability of power grids. Impact factors on transmission line fires are numerous and the current risk assessment methods could hardly handle the complex nonlinear relationship between risks and factors, therefore, a method based on BP neu...

In this paper, genetic algorithm-based approach for transient analysis of single transmission line connected to arrester is proposed. In this approach, the lightning channel striking the overhead line is first represented by a current source and this source is truncated by a finite set of frequency harmonies in time domain. Norton equivalent circuit viewed across arrester is then computed by me...

The accuracy of power transmission line frequency parameters has a pivotal effect in the accuracy, reliability and safety of various power system analyses and applications, so the actual measurements of transmission line are significant. At present, the measurement of parameters of transmission line is actual measurement in the actual location. The traditional methods can be off-line and have a...