DocumentCode :
3511640
Title :
A Novel High Impedance Fault Location for Distribution Systems Considering Distributed Generation
Author :
Bretas, Arturo S. ; Moreto, Miguel ; Salim, Rodrigo H. ; Pires, Luciano O.
Author_Institution :
Fed. Univ. of Rio Grande do Sul
fYear :
2006
fDate :
15-18 Aug. 2006
Firstpage :
1
Lastpage :
6
Abstract :
In this paper it is proposed a novel high impedance fault detection and location scheme for power distribution feeders with distributed generation. The proposed scheme is capable to obtain precise fault location estimations for both linear low impedance and non-linear high impedance faults. This last class of faults represents an important subject for the power distribution utilities because they can be difficult to detect and locate by the protection devices commonly used in todays electric distribution systems. The proposed scheme uses real time data which are processed in a way that the fault detection and location can be estimated by a set of characteristics extracted from the voltage and current signals measured at the substation. This characteristic set is classified by an artificial neural network based scheme whose output results in a fault detection and location. The scheme is based on the calculation of the symmetrical components of the current signal harmonics at the relay point. Other traditional fault detection and location methodologies were also implemented, making possible to obtain comparative results. The scheme was applied in two simulated feeders. The results of this work shows, that the proposed methodology is worthy of continued research objecting real time applications
Keywords :
distributed power generation; fault location; neural nets; power distribution reliability; power engineering computing; artificial neural network; current signal harmonics; distributed generation; distribution systems; fault detection; high impedance fault location; nonlinear high impedance faults; power distribution feeders; substation; Data mining; Distributed control; Electrical fault detection; Fault detection; Fault location; Impedance; Power distribution; Power system protection; Substation protection; Voltage; Distributed generation; Fault location; Neural network applications; Power distribution faults; Power distribution protection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission & Distribution Conference and Exposition: Latin America, 2006. TDC '06. IEEE/PES
Conference_Location :
Caracas
Print_ISBN :
1-4244-0287-5
Electronic_ISBN :
1-4244-0288-3
Type :
conf
DOI :
10.1109/TDCLA.2006.311623
Filename :
4104554
Link To Document :
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