Title :
Detection of high impedance faults in overhead multi grounded networks
Author :
Garcia, Juan Camilo ; Vega Garcia, Valdomiro ; Kagan, Nelson
Author_Institution :
Center for Regul. & Power Quality Studies, Univ. of Sao Paulo. Luciano Gualberto, São Paulo, Brazil
Abstract :
This article presents a methodology for detection of high impedance faults (HIF). HIF occurs when e.g. a cable makes contact with objects of high electric resistance, resulting in a nonsignificant increase in current. Such faults cannot be detected by traditional protection devices that operate due to overcurrent. The developed methodology is based on making use of variables from a power quality meter (PQM), such as harmonic and sequence components of the currents measured at a substation. Such variables compose descriptors for decision making in artificial neural networks (ANN). In order to test the proposed method HIF events were simulated as well as other common network events using the ATP software. The proposed framework is part of a HIF detection system to be implemented in a substation of an electric utility in the state of Säo Paulo.
Keywords :
decision making; earthing; fault diagnosis; neural nets; overcurrent protection; power distribution faults; power meters; power overhead lines; power supply quality; power system harmonics; power system simulation; substations; ANN; ATP software; HIF detection system; PQM; Säo Paulo state; artificial neural networks; current harmonic component; current sequence component; decision making; distribution network; electric utility; high electric resistance; high impedance fault detection; overhead multi grounded networks; power quality meter; substation; Artificial neural networks; Harmonic analysis; Impedance; Load modeling; Power cables; Surface impedance; Vectors; ANN; ATP; High impedance fault; harmonics;
Conference_Titel :
Industry Applications (INDUSCON), 2014 11th IEEE/IAS International Conference on
Print_ISBN :
978-1-4799-5550-3
DOI :
10.1109/INDUSCON.2014.7059480