A method for fault location in distribution systems

Author

Coser, J. ; Rolim, J.G.

Author_Institution

Fed. Univ. of Santa Catarina, Brazil

Volume

1

fYear

2004

Firstpage

380

Abstract

This paper describes a method for fault location in power distribution systems. The method is fundamentally based on artificial neural networks. It also employs transmission line theory and the resistive nature of the fault impedance. The method is applicable to feeders containing lateral derivations (single or three phase) and nonhomogeneous characteristic. Phase current and voltage fundamental frequency phasors at the origin of the feeder are needed as input data for a diagnostic. Studies regarding the influence of errors on the system modeling on the results are also presented.

Keywords

electric resistance; fault location; neural nets; power distribution faults; power system simulation; transmission line theory; artificial neural networks; fault diagnosis; fault location; feeders; lateral derivations; nonhomogeneous characteristic; phase current; power distribution systems; resistive fault impedance; system modeling errors; transmission line theory; voltage fundamental frequency phasors; Artificial neural networks; Degradation; Fault location; Frequency; Impedance; Monitoring; Power distribution; Substations; Transmission line theory; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Universities Power Engineering Conference, 2004. UPEC 2004. 39th International

Print_ISBN

1-86043-365-0

Type

conf

Filename

1492030